About the Role:

As an AI/ML Developer-2 based in Bengaluru, India, you will design, develop, and deploy advanced machine learning models and AI solutions to solve complex business problems. You will collaborate with cross-functional teams to build scalable, data-driven applications and drive innovation through end-to-end ML workflows.

Responsibilities:

Design, implement, and maintain machine learning models and algorithms using Python

Perform data preprocessing, feature engineering, and statistical analysis on large datasets

Collaborate with data engineers and software developers to integrate ML models into production systems

Monitor and optimize model performance, retraining models as needed

Conduct experiments to evaluate new algorithms and frameworks, and present findings to stakeholders

Document code, processes, and model artifacts for reproducibility and compliance

Stay up to date with the latest developments in AI/ML research and tools

Required Qualifications:

5-7 years of professional experience in AI/ML development or related field

Proficiency in Python and libraries such as NumPy, Pandas, Scikit-learn, TensorFlow or PyTorch

Strong understanding of machine learning algorithms, deep learning architectures, and statistical modeling

Experience with data preprocessing, feature engineering, and model evaluation techniques

Familiarity with SQL and NoSQL databases for data extraction and manipulation

Proven experience deploying ML models into production environments

Preferred Qualifications:

Experience with cloud platforms such as AWS, Azure, or GCP and their ML services

Knowledge of MLOps practices, CI/CD pipelines, and containerization tools like Docker and Kubernetes

Hands-on experience with big data technologies such as Spark, Hadoop, or Kafka

Background in natural language processing, computer vision, or reinforcement learning

Excellent problem-solving skills and ability to communicate technical concepts to non-technical stakeholders

Master’s or higher degree in Computer Science, Engineering, or a related technical discipline

NBCUniversal is one of the world's leading media and entertainment companies. We create world-class content, which we distribute across our portfolio of film, television, and streaming, and bring to life through our global theme park destinations, consumer products, and experiences. We own and operate leading entertainment and news brands, including NBC, NBC News, NBC Sports, Telemundo, NBC Local Stations, Bravo, and Peacock, our premium ad-supported streaming service. We produce and distribute premier filmed entertainment and programming through our powerhouse film and television studios, including Universal Pictures, DreamWorks Animation, and Focus Features, and the four global television studios under the Universal Studio Group banner, and operate industry-leading theme parks and experiences around the world through Universal Destinations & Experiences, including Universal Orlando Resort, home to Universal Epic Universe, and Universal Studios Hollywood. NBCUniversal is a subsidiary of Comcast Corporation. Visit www.nbcuniversal.com for more information.

Our impact is rooted in improving the communities where our employees, customers, and audiences live and work. We have a rich tradition of giving back and ensuring our employees have the opportunity to serve their communities. We champion an inclusive culture and strive to attract and develop a talented workforce to create and deliver a wide range of content reflecting our world.

Job Description

The AI Solutions Program Associate Lead will support the strategic alignment between the Prism team and NBCUniversal Business Units. The successful candidate will collaborate with the BU Stakeholders, Product and Engineering teams to support the successful execution of AI programs as well as process improvement activities in support of their respective BU. They will contribute to the delivery of AI solutions and operational support inclusive of Intake process, discovery, scope, and defining project phases across their assigned BU and Prism. This role will also assist in service delivery, program delivery, and AI operational support, representing services across Prism.

Responsibilities:

The AI Solutions Program Associate Lead will support the maintenance of a clear, centralized process for AI initiatives intake, prioritization and value stories for their individual BU, Technical Project or Program. They will help maintain a short\long term roadmap that aligns with the overall BU, Prism Technologies and Key Initiatives, and will ensure process alignment for BAU tasks and issue resolution and will support the end-to-end delivery of strategic AI initiatives in support of the BU. They will assist in the execution of specific BU AI Programs as well as other projects as assigned.

• Support the delivery of AI solutions and operational support for the BUs, Prism Technologies or Key Projects.

• Assist in the delivery of AI solutions and operational support inclusive of discovery, scope, defining project phases and on-going support inclusive of hypercare & BAU transitions

• Help represent the capabilities of Prism and the evolution of the business strategy.

• Contribute to the development and alignment of near-term and long-term roadmaps for each BU by supporting requirements scoping, LRP assessment, and request prioritization.

• Provide clear communication on requirements, risks, impacts and strategy to working teams inclusive of engineering, product, and cyber teams. Support communication to senior leadership as needed and assist with risk and issue mitigation.

• Build relationships across business partners and team leads and be available for engagement needs as directed.

• Support Prism teams by sharing relevant business context and escalating needs appropriately

• Assist in coordinating project status meetings to monitor project health and budget, and help escalate major issues to senior team members.

• Develop subject matter expertise for his/her assigned BU or program and provide support on existing platforms and business processes to project teams.

• Support business leads in securing project acceptance, hand-off from implementation to operational teams, and adoption of new platforms.

• Help standardize tools, templates, and methodologies for use in major efforts and support consistent application across projects.

• Provide hands-on support in analyzing and resolving operational challenges

• Support change management efforts by identifying AI opportunities, proposing solutions, and contributing to process/technical innovation

• Assists in analyzing, evaluating, and mitigating program risks, and contributes to program reports for management. Works under the direct supervision of the AI Solutions and Programs Lead and the Director of AI Solutions and Programs

• Responsible for completing any other tasks as assigned by manager as needed.

Qualifications

• 2+ years of work experience working with large program / project management, Business engagement Solutions or Technical Operations.

• Developing communication and interpersonal skills, including relationship building and collaboration within cross-functional teams.

• Strong oral and written communication skills, with excellent presentation and facilitation skills

• Ability to prioritize effectively, think independently and problem solve to ensure all projects are completed in an effective and timely manner

• Results-oriented with a history of problem resolution

• Ability to manage a high volume of details with excellent accuracy

• Effectively handle sensitive and confidential matters

• Always provide positive solutions to the problem. Strong sense of ownership

• Appropriate sense of urgency and commitment for critical deliverables

• Adaptable with ability to work effectively under pressure and through significant change

• A true collaborator and team player with a positive attitude who can encourage and promote one team across groups to meet common goals and add value.

• Attention to details and ability to work independently and in a fast environment

• Bachelor's degree in Computer Science, Information Systems, Business Management, or related field required.

Additional Requirements:

• Hybrid: This position currently has a hybrid schedule, which requires contributing from the office a minimum of four days per week. The Company reserves the right to change in-office requirements at any time.

This position is eligible for company sponsored benefits, including medical, dental and vision insurance, 401(k), paid leave, tuition reimbursement, and a variety of other discounts and perks. Learn more about the benefits offered by NBCUniversal by visiting the Benefits page of the Careers website.

Salary range: $90,000 - $115,000

Additional Information

As part of our selection process, external candidates may be required to attend an in-person interview with an NBCUniversal employee at one of our locations prior to a hiring decision. NBCUniversal's policy is to provide equal employment opportunities to all applicants and employees without regard to race, color, religion, creed, gender, gender identity or expression, age, national origin or ancestry, citizenship, disability, sexual orientation, marital status, pregnancy, veteran status, membership in the uniformed services, genetic information, or any other basis protected by applicable law.

If you are a qualified individual with a disability or a disabled veteran and require support throughout the application and/or recruitment process as a result of your disability, you have the right to request a reasonable accommodation. You can submit your request to AccessibilitySupport@nbcuni.com.

We are seeking a motivated AI Innovation Intern to join our team for 6 months!

As an Innovation Intern, you will have the opportunity to gain hands-on experience in various aspects of information technology while supporting our Innovation team in day-to-day operations. This internship will provide valuable exposure to different areas of Innovation, including but not limited to system administration, network management, technical support, and software/hardware troubleshooting.

Responsibilities

• Assist in troubleshooting hardware and software issues for end-users.

• Provide technical support and guidance to employees regarding IT systems and applications.

• Assist with the installation, configuration, and maintenance of computer systems and peripherals.

• Help manage and maintain IT inventory, including hardware and software assets.

• Contribute to IT projects and initiatives as assigned, such as system upgrades and migrations.

• Document IT procedures, processes, and troubleshooting steps.

• Stay updated on emerging technologies and trends in the IT industry.

Requirements

• Currently pursuing a degree in Information Technology, Computer Science, or a related field.

• Strong interest in information technology and eagerness to learn.

• Basic understanding of computer hardware, software, and networking concepts.

• Excellent communication and interpersonal skills.

• Ability to work well independently and collaboratively in a team environment.

• Detail-oriented with strong problem-solving skills.

• Familiarity with Microsoft Office Suite and other common productivity tools.

• Can commit for 6 months

Preferred Qualifications:

• Prior internship or work experience in an IT-related role.

• Familiarity with ITIL concepts and best practices.

• Experience with scripting languages (e.g., PowerShell, Python).

• Knowledge of virtualization technologies (e.g., VMware, Hyper-V).

• Certifications such as CompTIA A+, Network+, or Microsoft Certified: Azure Fundamentals.

Our client, is now looking for Chief Director, AI Platform & Solutions join within their team.

Key Responsibilities

💡 1. Strategic Vision & Next-Gen Technology Roadmap

• Formulate and drive the long-term applied research strategy, keeping the institute at the absolute cutting edge of LLM/LVLM, Agentic AI, and Generative AI.

• Establish technology roadmaps tailored for high-impact sectors, primarily FinTech and Trusted Tech (Cybersecurity, Privacy-Preserving Computing), with cross-disciplinary expansion into Digital Health and Intelligent Manufacturing.

• Champion AI enablement across all other Technology Divisions (TDs) to exponentially enhance collective research productivity and solution capabilities.

👥 2. R&D Leadership & Platform Architecture

• Lead, mentor, and scale a high-performing division of top-tier AI scientists, software architects, and engineers, fostering a culture of technical excellence.

• Oversee the design, development, and standard setting of a robust, reusable, and scalable Core Base Agentic AI Platform that serves as the foundation for all vertical solutions.

• Guide solution teams on modern system deployment architectures (Cloud, Containerization, MLOps Pipelines) to ensure all R&D outputs are highly feasible for real-world piloting and commercial integration.

🚀 3. Commercialization & Impact Acceleration (0 → 1 → 10)

• Drive the technology transfer process, ensuring all applied research planning explicitly incorporates real-world business constraints, regulatory requirements, and customer feedback from the outset.

• Partner closely with Business Development and Ecosystem teams to secure strategic pilot deployments, joint-labs, and commercial market validation.

• Bridge the gap between advanced R&D and market readiness, defining clear paths to market for proprietary technologies.

🤝 4. High-Level Stakeholder & Ecosystem Management

• Act as the ultimate technical ambassador to align complex multi-party interests across the technology ecosystem:

• Government & Funding Bodies: Articulate the technical merit, strategic value, and macroeconomic impact of AI programs to secure public research grants.

• C-Level Enterprise Clients: Deeply understand operational pain points of financial institutions and conglomerates, translating them into robust AI solutions.

• Solution Integrators & Tech Vendors: Secure strategic partnerships to accelerate commercial adoption.

Job Requirements

• Proven Leadership: 15+ years of experience in advanced technology research and solution development, with at least 8+ years in a senior executive role managing large-scale, multidisciplinary R&D teams within applied research institutes, corporate R&D hubs, or top-tier tech firms.

• Technical Depth: Outstanding technical credentials in AI/ML, with deep domain expertise in LLMs, GenAI, and Agentic AI architectures.

• Domain Expertise: A proven track record of successfully applying AI solutions within FinTech (e.g., algorithmic trading, credit scoring, fraud detection) or Trusted Tech (e.g., zero-knowledge proofs, federated learning, data governance).

• Deployment & Engineering Acumen: Solid understanding of modern production-level software architectures, including cloud-native infrastructures, containerization (Docker/Kubernetes), and continuous ML pipelines (MLOps/CI/CD).

• Commercial Success: Strong business acumen with a demonstrated track record of navigating the "0-to-1" to "1-to-10" product life cycle, converting lab research into commercially viable, scalable enterprise products.

• Stakeholder Management: Exceptional communication and presentation skills in English and Chinese (Mandarin/Cantonese). Experienced in navigating publicly funded, highly regulated, or academic-corporate hybrid ecosystems.

Interested parties please email a MS Word version resume and expected salary to aston.yeung@manpowergrc.hk and quote the job reference no.

Software engineering is undergoing its biggest transformation since Agile, Cloud, and DevOps. AI is changing how software is designed, built, tested, reviewed, documented, and delivered. The organizations that learn how to turn this shift into disciplined engineering practice will create a meaningful advantage in speed, quality, innovation, and talent leverage.

At Sparkrock, we help social benefit organizations—such as nonprofits, school boards, and government agencies—operate more effectively. Every day, tens of thousands of users rely on our platforms to manage critical financial and administrative workflows.

Sparkrock is looking for an AI-Native Software Engineering Director to lead that transformation. This is not a traditional software engineering leadership role focused on roadmap execution, release management, or managing a large reporting line. Your mission is to build the AI-Native Engineering Operating System for Sparkrock: the experiments, workflows, standards, metrics, guardrails, playbooks, and coaching systems that define how our engineering teams build software in the AI era.

You will design and run experiments across software development and quality engineering, evaluate emerging AI engineering tools and agentic workflows, establish AI-Native development and QA standards, and coach engineers and engineering leaders to unlock materially higher levels of productivity, quality, and innovation.

This role offers a unique opportunity to shape the future of software engineering within a global, fully remote organization. You will directly influence how engineering teams use AI-assisted development, coding agents, quality automation, and human-AI collaboration to build exceptional software safely, reliably, and at scale.

Success in this role is measured by your ability to help engineering teams achieve measurably better outcomes through AI-Native ways of working, not by the size of the team you manage or the number of tools you introduce.

If you are passionate about the future of engineering, energized by experimentation, serious about quality, and motivated by helping engineers achieve breakthrough performance through AI-Native practices, we would love to hear from you.

Responsibilities

• Design, execute, and measure AI-Native software development and quality engineering experiments

• Identify engineering bottlenecks where AI-Native workflows can improve productivity, quality, speed, developer experience, or release confidence

• Evaluate emerging AI engineering tools, coding agents, AI-enabled development environments, test generation tools, code review assistants, documentation tools, and developer productivity platforms

• Develop and institutionalize AI-Native development, testing, review, documentation, refactoring, debugging, and delivery practices

• Define and maintain engineering quality bars, operating standards, usage guardrails, workflow templates, and best practices for AI-assisted software development

• Create AI-Native quality engineering practices that improve test automation, regression prevention, validation, code review, quality gates, and production readiness

• Establish balanced metrics and measurement frameworks for engineering productivity, quality, cycle time, developer experience, adoption, and business impact

• Analyze experiment results and recommend whether practices should be adopted, modified, scaled, or retired

• Create playbooks, frameworks, operating models, and enablement materials that turn successful experiments into repeatable practices across the organization

• Coach engineers and engineering leaders to maximize effectiveness through AI-assisted development, agentic workflows, quality engineering, and human-AI collaboration

• Drive organization-wide adoption of proven AI-Native engineering practices through coaching, enablement, influence, measurement, and continuous feedback loops

• Define safe and responsible practices for AI-generated code, AI-assisted testing, tool usage, data exposure, IP protection, security, maintainability, and human review

• Partner with engineering, product, QA, security, DevOps, platform, and executive leadership to align AI-Native transformation efforts with business priorities

• Continuously improve software development, QA, automation, CI/CD, DevOps, cloud engineering, observability, security, and delivery processes through AI-Native approaches

• Develop strategic recommendations for the future evolution of software engineering at Sparkrock

Requirements

• Bachelor's degree or higher in Computer Science, Computer Engineering, Software Engineering, or a related field, or equivalent practical experience

• 8+ years of hands-on software engineering experience delivering production software systems

• Strong hands-on software engineering background with experience in modern software development practices and production-grade systems

• Practical experience using AI-assisted development tools, coding assistants, coding agents, AI-enabled IDEs, AI-powered testing, AI-supported code review, or agentic software development workflows in real engineering environments

• Experience evaluating and rolling out AI engineering tools, coding agents, test generation tools, code review assistants, documentation assistants, or developer productivity platforms

• Experience leading engineering transformation, engineering excellence, developer productivity, quality engineering, platform engineering, technical enablement, or software development process improvement initiatives

• Experience designing, executing, measuring, and scaling experiments that improve engineering productivity, quality, developer experience, or delivery outcomes

• Experience improving engineering outcomes through process innovation, tooling adoption, productivity initiatives, quality engineering improvements, or organizational transformation

• Experience driving the adoption of new engineering practices across multiple teams or organizations

• Experience coaching engineers and engineering leaders through meaningful changes in engineering practices, tools, workflows, or operating models

• Experience establishing engineering standards, quality bars, operating procedures, usage guardrails, quality frameworks, or operational excellence programs

• Strong understanding of modern software engineering, software quality engineering, testing strategies, automation, CI/CD, DevOps, cloud-native development, observability, security, and developer productivity practices

• Ability to design human-AI workflows that improve engineering outcomes while preserving quality, maintainability, security, reliability, and human accountability

• Strong analytical and data-driven decision-making capabilities, including the ability to define meaningful metrics, establish baselines, interpret results, and avoid vanity metrics

• Strong systems-thinking mindset with the ability to optimize complex human, technical, and organizational systems

• Exceptional coaching, mentoring, facilitation, and change leadership skills

• Excellent written, verbal, and presentation communication skills

• Ability to influence technical and organizational decisions across all levels of the engineering organization, from individual contributors to executives

• Ability to separate durable engineering value from short-lived AI hype

Nice to have

• Experience building or scaling AI-Native engineering practices across multiple teams

• Experience leading developer productivity, engineering excellence, platform engineering, quality engineering, DevOps transformation, or technical enablement initiatives

• Experience implementing engineering metrics, productivity dashboards, developer experience measurement, or value-stream improvement frameworks

• Experience defining responsible AI usage standards, AI-generated code review practices, security guardrails, or enterprise AI tooling policies

• Experience with large-scale distributed, remote, or global engineering organizations

• Experience with enterprise SaaS, ERP systems, public sector, education, nonprofit, or mission-critical business applications

• Experience modernizing legacy systems or improving productivity in complex enterprise codebases using AI-assisted workflows

Benefits

We don't call them perks; they're part of what makes working at Sparkrock great.

• Access to leading AI engineering tools, platforms, and technologies, with the freedom to experiment, evaluate, and shape how they are adopted across the organization

• A unique opportunity to define AI-Native engineering practices for a mission-driven enterprise software company

• We are 100% remote and global. Live your best life wherever that may be, and never lose out on career opportunities because of it

• Flexible work hours. We work asynchronously and don’t care when you’re online, just that you deliver great results and are there for our customers

• We are dedicated to your growth with consistent and meaningful feedback, support in achieving your personal career goals, and access to leading-edge tools, playbooks, and technology to amplify your experience

• Introductions to thought leaders in the space and webinars on cutting-edge tech hot topics

• Stipend to help set up your ideal home office

• Focus on culture: coffee chats, happy hours, cooking classes, book clubs, and more!

We strive to build a team that reflects the diversity of the communities we serve. We encourage applications from traditionally underrepresented groups, including women, visible minorities, Indigenous peoples, people identifying as LGBTQ2SI, veterans, and people with disabilities.

If you are excited by the opportunity to help define the future of software engineering in the AI era, we encourage you to apply.

All open roles are for existing vacancies unless otherwise communicated to the candidate. We are committed to keeping candidates informed throughout the process and will notify all interviewed applicants of our hiring decision within 45 days of their interview. Sparkrock retains all job postings and related recruitment information for a minimum of three years.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Company Description ELF Foundation is a nonprofit organization dedicated to equipping young people with the knowledge, skills, and values to drive positive change in their communities. Operating at the intersection of education, innovation, and social impact, ELF Foundation designs programs that promote digital literacy, leadership development, and civic engagement, with a strong focus on underserved communities.

Its flagship initiative, SmartStart Bootcamp, provides global digital skills training for high school students. The organization emphasizes youth-led change supported by mentorship, opportunity, and purpose, and currently operates in Nigeria, Canada, the UK, and the USA. ELF Foundation fosters a collaborative, mission-driven environment where team members contribute directly to empowering the next generation of leaders.

Who We Are Looking For:

We are seeking exceptional, dynamic Tech Educators, AI Researchers, and Software Professionals who can break down complex conceptual technical architectures into engaging, practical milestones.

Compensation & Duration:

Format: Two-week hyper-focused intensive batches running Monday through Saturday.

Remuneration:

10,000 - 30,000 Naira per hour based on your experience and teaching ability.

Daily teaching hours 3-4hrs

Responsibilities

• Deliver live, high-energy interactive instructional blocks to global cohorts across specialized age divisions (Pre-Teen, Junior, Senior, or Post-Teen).

• Provide strategic technical oversight, supervise collaborative group projects, and evaluate student portfolios.

• Enforce a collaborative learning environment across international student groups.

• Provide real-world feedback during presentation practices and final project showcases.

• Must be present for the physical graduation in Lagos or Abuja.

Must Have

• Impeccable Communication Skills: Exceptional verbal clarity, clear enunciation, and the ability to command an online classroom effortlessly are absolute requirements.

• Demonstrated experience working directly with Generative AI tools, Large Language Models (LLMs), automated workflows, prompt engineering, or modern multi-user digital design tools.

• Reliable high-speed internet connectivity

• Clear studio-quality audio hardware

• Professional remote-work environment.

• Nigerian with good English accent.

• AI Knowledge, Technical Expertise and Prompt Engineering

Nice to have

• Ability to shift your tone and teaching framework to match your assigned age bracket moving smoothly from a playful gamified style for pre-teens to professional mentorship for post-teens.

• Additional languages

• Google Adwords experience

• Strong analytical skills

About the Role

It is a full-time paid 10 - 12 weeks summer internship programme between June and August 2026.

We are looking for a motivated university student to join the APAC Technology team for the summer. This is a hands-on internship where you will contribute to real, live technology and AI initiatives across the APAC region — not just shadowing, but actively participating in project delivery, documentation, and problem-solving.

You will work closely with technologists, business analysts, and stakeholders across Front Office, Operations, Compliance, and IT to support technology projects that make a tangible difference to the business.

Key Responsibilities

AI & Innovation Support

• Assist in researching, evaluating, and documenting AI use cases raised by APAC business teams

• Support the translation of business ideas into structured AI project proposals, including scoping, requirements capture, and feasibility notes

Project & Delivery Support

• Assist Project Managers and Business Analysts in tracking project milestones, dependencies, and status updates across active APAC technology initiatives

• Help maintain project documentation including BRDs (Business Requirements Documents), process flows, meeting minutes, and status reports

• Support UAT (User Acceptance Testing) coordination — logging test cases, tracking defects, and following up on sign-offs

Documentation & Knowledge Management

• Create and maintain clear, well-structured technical and functional documentation for both new and existing systems

• Organise and maintain team Confluence pages, trackers, and shared documentation repositories

Incident & Issue Management Support

• Assist in logging, tracking, and following up on technology incidents and service requests

• Help monitor ticket queues, escalate issues where appropriate, and prepare incident summary reports

• Support root-cause analysis write-ups and lessons learned documentation

Stakeholder & Communication Support

• Help prepare presentation decks, dashboards, and updates for team meetings and stakeholder reviews

• Assist with coordination across APAC offices (Hong Kong, Singapore, Taiwan, Australia, Shanghai) and Global Technology teams in the US, EMEA and EA.

Qualifications & Skills

• Currently pursuing a Bachelor's degree in Computer Science, Information Systems, Business (with a technology focus), Finance Technology, or a related field

• Strong written and verbal communication skills in English; Cantonese and/or Mandarin is a plus

• Proficiency in Microsoft Office suite (Excel, PowerPoint, Word); familiarity with SharePoint is a plus

• Analytical mindset with strong attention to detail and an ability to organise information clearly

• Eager to learn, self-motivated, and comfortable working in a fast-paced professional environment

• Exposure to Python, SQL, or any programming/scripting language (academic projects count)

• Familiarity with AI/ML concepts, large language models, or data analytics tools

• Basic understanding of financial markets, asset management, or investment products

• Prior internship or part-time experience in a financial services or technology environment

Application

Only Shortlisted candidates will be contacted for an interview. We appreciate you're understanding and patience throughout this process.

Visa sponsorship may be available for qualified candidates. Sponsorship decisions will be made in accordance with company policy and applicable laws.

Neuberger is an equal opportunity employer. The Firm and its affiliates do not discriminate in employment because of race, creed, national origin, religion, age, color, sex, marital status, sexual orientation, gender identity, disability, citizenship status or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact onlineaccommodations@nb.com.

Learn about the Applicant Privacy Notice.

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, deliver digital marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realise their financial goals and help them to save time and money.

We operate across a range of markets, from financial services to healthcare, automotive, agrifinance, insurance, and many more industry segments.

We invest in talented people and new advanced technologies to unlock the power of data and innovate. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 25,200 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com.

We are seeking a passionate and highly motivated AI Intern to support our artificial intelligence and machine learning initiatives. In this role, you will work alongside experienced data scientists, engineers, and product teams to help design, build, and test AI-driven solutions that enhance business performance and user experience.

This internship is ideal for students or recent graduates eager to gain hands-on experience in real-world AI development, research, and analytics.

Key Responsibilities

• Assist in developing, training, and evaluating machine learning and deep learning models.

• Clean, preprocess, and analyze structured and unstructured datasets.

• Support the team in building prototypes and proof-of-concept AI solutions.

• Conduct literature reviews on the latest AI/ML techniques and tools.

• Collaborate with cross-functional teams to understand business problems and propose AI-driven solutions.

• Document model development processes, workflows, and performance results.

• Assist in automating tasks using Python, AI APIs, or visualization tools.

• Participate in team meetings, brainstorming sessions, and sprint review

• Bachelors of IT related fields

• Basic understanding of Python and popular AI/ML libraries (e.g., NumPy, Pandas, Scikit-learn, TensorFlow, PyTorch).

• Exposure to machine learning concepts such as regression, classification, clustering, and model evaluation.

• Familiarity with data visualization tools (e.g., Matplotlib, Power BI, Tableau).

• Understanding of APIs, cloud platforms (Azure, AWS, GCP), or SQL is a plus.

• Knowledge of GenAI tools or LLMs (ChatGPT, Azure OpenAI, etc.) is an added advantage.

Our uniqueness is that we celebrate yours. Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering, and more. The list goes on.

Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few. Check out Experian Life on social or our Careers Site to understand why.

Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.

Experian Careers - Creating a better tomorrow together

Find out what its like to work for Experian by clicking here

AI Trainer - Neuroscience Specialist (Remote Advisory)

About Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills.

The role

We are seeking Neuroscience Experts to act as evaluators for a high-level AI verification project. AI models are now generating complex technical summaries, and we need specialists to ensure these outputs maintain scientific integrity and factual accuracy.

We need experts who can navigate dense scientific literature to judge the accuracy and structural integrity of AI-generated graphical abstracts. This is a flexible, ad hoc project paying $40+/h where your technical expertise directly influences how AI understands and summarizes complex research.

What you'll bring

• Specialized knowledge: Deep expertise in Neuroscience

• Advanced Academic Credentials: you must hold a Master's or PhD in Neuroscience or a related field.

• Analytical Skills: history with fact-checking tasks and strong attention to detail

• Nice to have: Previous experience with AI-related training or evaluation tasks and a background in scientific publishing or peer review.

What you'll be doing in the role

• Scientific Review: review scientific papers alongside LLM-generated graphical abstracts.

• Fact-Checking: identify issues and inaccuracies where the graphical abstract does not faithfully represent the source scientific paper.

• Expert Verification: use your domain knowledge to ensure that technical concepts are visually and textually summarized correctly.

Please note that to qualify for this study you will be required to pass a paid skills assessment with a sample paper and graphical abstract

Why Prolific is a great platform to join as a Participant

Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using professional legal expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We've built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won't come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.

Links to more information on Prolific

Website

Youtube

Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific's Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal personal information.

About the Role

Qualcomm is seeking a Machine Learning Applications Engineer – AI Inference & Model Optimization to support the enablement of rack‑scale deep learning workloads on advanced Qualcomm AI inference accelerators. This customer‑facing, highly technical role focuses on porting, optimizing, and validating deep learning AI models on production systems and enabling Qualcomm’s partners to develop and deploy advanced machine learning applications, including computer vision, speech, generative AI, and state‑of‑the‑art multimodal reasoning models, using popular frameworks such as PyTorch, TensorFlow, and ONNX on Qualcomm Cloud AI accelerators.

The role requires strong expertise in AI models, quantization, performance optimization, and deployment, plus the ability to shape architecture, workload sizing, and system design. It also requires experience with deep learning model development across hardware platforms, solid programming skills, collaboration with cross‑functional teams, and proficiency in machine learning frameworks, Linux, and container orchestration tools.

What You’ll Do

A) AI Model Porting & Optimizen

• Deploy, optimize, and scale deep learning AI models onto accelerator‑based data center platforms, including model conversion workflows, quantization techniques (INT8 / mixed precision), runtime integration and optimization, and integration onto Qualcomm’s Cloud AI ML stack from frameworks such as PyTorch, TensorFlow, and ONNX.

• Drive improvements in model throughput, latency, and accuracy, with clear trade‑off analysis.

• Build, test, and deploy scalable inference pipelines using serving frameworks such as vLLM, TGI, and Triton.

• Optimize workloads for LLM and GenAI models across both multi‑SoC and multi‑card architectures.

• Collaborate with engineering teams to analyze and refine training and inference for advanced deep learning applications.

• Identify bottlenecks across compute, memory, and runtime, and guide optimization strategies.

• Contribute to Qualcomm’s Cloud AI GitHub repository and developer documentation, sharing technical best practices and solutions.

• Develop and integrate end‑to‑end ML application pipelines with customer frameworks and libraries.

B) Customer‑Facing Technical Engagement

• Act as a trusted technical advisor for customers deploying AI workloads.

• Engage in hardware sizing and architecture discussions, aligning model requirements with infrastructure capabilities.

• Provide technical guidance on AI model selection, deployment feasibility, system architecture, and performance expectations.

• Lead discussions on model capabilities and limitations based on real customer use cases.

C) Model–Infrastructure Alignment

• Assess and evaluate AI model requirements and recommend alternative model approaches when necessary.

• Align model characteristics (latency, throughput, accuracy) with accelerator and system capabilities.

• Connect model requirements with memory constraints, accelerator architecture, and scaling limitations.

• Support customers in defining model selection strategies based on deployment realities.

D) Performance & Scalability Engineering

• Evaluate performance characteristics of AI models in production scenarios, including throughput expectations, latency targets, and concurrency behavior.

• Guide architecture decisions around scaling strategies (horizontal vs vertical) and hardware deployment sizing.

• Contribute to discussions on workload scalability limits and impact of model selection on system performance and efficiency.

• Provide insights into capacity planning and infrastructure optimization.

E) End‑to‑End AI Pipeline Design

• Drive discussions around end‑to‑end AI pipelines, including multi‑model workflows (e.g., detection + tracking + recognition).

• Guide decisions on video and data processing stages, such as video pipeline choices (FFMPEG vs GStreamer) and integration into inference pipelines.

• Ensure pipelines are aligned with performance requirements, hardware capabilities, and real‑time constraints.

F) Model Trade‑off Analysis & Validation

• Highlight and explain trade‑offs between accuracy vs compatibility and model quality vs deployment feasibility.

• Support decision‑making on model simplification vs performance gains and precision vs efficiency trade‑offs.

• Lead or support model capability validation in deployment environments.

• Collaborate with customers to define inference assumptions and model sizing strategies for large‑scale workloads.

Required Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).

• 10–15+ years of experience in deep learning model development or deployment on CPUs/GPUs/ASICs, inference systems, and optimization.

• Experience with data center or edge AI platforms, model quantization and optimization techniques, AI model frameworks (PyTorch, TensorFlow).

• Strong programming skills in C/C++/Python, debugging, performance analysis, and Linux‑based systems.

• Hands‑on expertise with low‑level software, drivers, and system bring‑up.

• Proven ability to analyze and optimize model performance in production environments.

• Solid understanding of AI inference hardware constraints, system‑level performance bottlenecks, and customer‑facing technical communication.

• Willingness to travel for customer engagements and strategic reviews.

Preferred Qualifications

• Experience deploying models on platforms that use hardware accelerators for inference.

• Managing multi‑model workflows and building real‑time AI systems (computer vision, video, analytics).

• Knowledge of distributed inference methods and large‑scale model deployments.

• Developing and maintaining video processing workflows using relevant software frameworks.

• Deep understanding of how system‑level decisions affect performance in deployment environments.

• Capability to simplify complex technical ideas for clients.

• Hands‑on experience running deep learning models on PyTorch, TensorFlow, ONNX.

• Experience developing software solutions for Linux environments with containers and orchestration.

• Experience with source code and configuration management tools; Git knowledge required.

• Customer‑facing experience translating requirements into technical solutions.

• Ability to build and deliver technical demos, proofs‑of‑concept, and reference applications for ML/GenAI workloads.

• Strong technical writing skills for customer‑ready documentation and partner training sessions.

• Experience driving issue triage and technical escalations with customers.

• Excellent stakeholder management and communication skills.

Benefits

• Salary including housing & transport allowance.

• Stock (RSU's) and performance‑related bonus.

• 16 weeks fully paid maternity leave.

• 6 weeks fully paid paternity leave.

• Employee stock purchase scheme.

• Child education allowance.

• Relocation and immigration support (if needed).

• Life and medical insurance.

• Live+ Well reimbursement for health and recreational membership fees.

Equal Opportunity Employment

Qualcomm is an equal‑opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, Qualcomm will provide a reasonable accommodation to support your participation in the hiring process. Contact disability‑View email address on click.appcast.io for accommodation requests.

This Job is based in Australia

Lecturer/Senior Lecturer in Neurosymbolic Artificial Intelligence

Apply now Job no: 540326

Work type: Full Time

Location: Sydney, NSW

Categories: Senior Lecturer, Lecturer

Job Details

• Salary,

• Lecturer (Level B) – AUD $127,947 to $150,830 per annum + 17% superannuation

• Senior Lecturer (Level C) – AUD $155,403 to $178,290 per annum + 17% superannuation

• Full-time

• 2-Year Convertible Tenure Track or continuing appointment

• Location: Kensington – Sydney, Australia

The Opportunity

Join the School of Computer Science and Engineering in the Faculty of Engineering at UNSW as a Lecturer / Senior Lecturer in a Teaching and Research role. In this role, you will contribute to the advancement of research and education in Neurosymbolic Artificial Intelligence, while helping to shape the next generation of AI researchers and practitioners.

You will conduct research in areas such as the integration of machine learning and symbolic reasoning to address complex and structured problems, and the development of robust and interpretable AI systems that advance the integration of learning and reasoning paradigms, contributing to high-impact research outcomes and the School’s growing research profile.

With established strengths in artificial intelligence, machine learning, data science, and distributed systems, UNSW offers an exceptional environment for academics who are looking to build their research profile, contribute to collaborative research initiatives, and deliver high-quality teaching. You will contribute to the development of intelligent, interpretable, and trustworthy AI systems.

This is an opportunity to join a global leader in Computer Science, with cutting-edge facilities, world-class faculty, and an innovative research environment. With strong industry partnerships and a commitment to sustainability, UNSW provides excellent opportunities for career development, collaboration, and impact.

About You

You are an emerging or established academic with a strong foundation in Neurosymbolic Artificial Intelligence, with the ability to contribute to high-quality research and teaching. You bring expertise in areas such as machine learning and symbolic reasoning integration, knowledge representation, reasoning under uncertainty, and interpretable AI, and demonstrate the potential to build a strong research profile.

At Lecturer level (Level B), you will be developing your research profile and contributing to collaborative research activities, including competitive grant applications and scholarly publications, while also delivering high-quality teaching and supporting student learning across undergraduate and postgraduate courses.

At Senior Lecturer level (Level C), you will demonstrate an established research track record with evidence of research leadership, success in securing competitive funding, supervising HDR students, and making significant independent contributions to your field. You will also contribute to educational leadership through high-quality teaching, curriculum development, and mentoring students and colleagues.

You are an engaging educator with experience in delivering high-quality teaching and contributing to curriculum development. You are collaborative, adaptable, and motivated to contribute to a high-performing academic environment and to build strong relationships across academia and industry.

About UNSW

UNSW is a world‑leading institution recognised for its scale, prestige, and impact. With strong industry engagement and partnerships across sectors, UNSW provides a unique environment where academic expertise translates into real‑world outcomes. The university is home to cutting‑edge research that drives innovation and societal progress, while its excellence in teaching ensures students are prepared to lead in their fields. For academics, UNSW offers an outstanding platform to flourish — combining world‑class facilities, collaborative networks, and a culture of innovation that supports both career growth and meaningful contributions to the wider community.

The School of Computer Science and Engineering is one of the largest and most prestigious schools of computing in Australia. It offers undergraduate programmes in Software Engineering, Computer Engineering, Computer Science, and Bioinformatics, as well as a number of combined degrees with other disciplines. Our research and teaching staff are world leading and world building as they advance knowledge and learning. For more information on our school, please visit: https://www.unsw.edu.au/engineering/our-schools/computer-science-and-engineering

Skills & Experience

Lecturer (Level B)

• A PhD in a related discipline, and/or relevant work experience.

• Proven commitment to proactively keeping up to date with discipline knowledge and developments.

• Demonstrated experience in teaching and learning design, development and delivery at undergraduate and/or postgraduate level.

• Experience using and/or designing with educational technologies and online delivery methods.

• Evidence of teaching effectiveness and passion for educational excellence (e.g. relevant discipline-based curriculum design and development at a variety of levels and scales).

• Demonstrated knowledge of industry or experience of work-integrated learning (desirable).

• Evidence of ability to support and inspire students from diverse backgrounds and support student equity, diversity and inclusion initiatives.

Senior Lecturer (Level C)

• A PhD in a related discipline, and/or relevant work experience.

• Proven commitment to proactively keeping up to date with discipline knowledge and developments.

• Demonstrated experience in teaching and learning design using a range of pedagogical approaches, development and delivery of courses and programs, at undergraduate and/or postgraduate level.

• Experience of implementing educational technologies and online delivery methods.

• Evidence of teaching effectiveness and passion for educational excellence and fostering this in others.

• Demonstrated success in initiating curriculum development and improvement.

• Demonstrated experience with industry or work-integrated learning.

• Evidence of ability to support and inspire students from diverse backgrounds and support student equity diversity and inclusion initiatives.

• Demonstrated track record in research with outcomes of high quality and high impact with clear evidence of the desire and ability to continually achieve research excellence as well as the capacity for research leadership.

• Experience in successfully recruiting and supervising high calibre students.

• Demonstrated ability to work in a team, collaborate across disciplines and build effective relationships.

• Evidence of highly developed interpersonal and organisational skills.

• Demonstrated ability to interact with the profession and industry and attract funding for learning and teaching initiatives.

• An understanding of and commitment to UNSW’s aims, objectives and values in action, together with relevant policies and guidelines.

• Knowledge of health and safety responsibilities and commitment to attending relevant health and safety training.

Additional details about the specific responsibilities for this position can be found in the position description. This is available via JOBS@UNSW.

To Apply

If you are an emerging academic looking to build your research and teaching profile, or an established academic seeking to further your career, this opportunity offers the chance to contribute to high-quality research, deliver engaging teaching, and help shape the future direction of the School. We encourage you to click the “Apply Now” button and submit your CV, cover letter, and responses addressing the Skills and Experience criteria.

If this opportunity interests you, but your experience does not align perfectly with every selection criterion, we still encourage you to apply.

If You Have Had Any Interruption In Your Career, You Are Encouraged To Include a ROPE Statement As Part Of Your Application. For Information On ROPE Please Check

https://www.arc.gov.au/about-arc/program-policies/research-opportunity-and-performance-evidence-rope-statement

Please note applications will not be accepted if sent to the contact listed below.

Contact:

Eugene Aves - Talent Acquisition Consultant

E: eugene.aves@unsw.edu.au

Applications close: 11:50 pm (Sydney time) on Friday, 31 July 2026

Pre-Employment Checks

Aligned with UNSW’s focus on cultivating a workplace defined by safety, ethical conduct, and strong integrity preferred candidates will be required to participate in a combination of pre-employment checks relevant to the role they have applied for.

These pre-employment checks may include a combination of some of the following checks: -

• National and International Criminal history checks

• Entitlement to work and ID checks

• Working With Children Checks

• Completion of a Gender-Based Violence Prevention Declaration

• Verification of relevant qualifications

• Verification of relevant professional membership

• Employment history and reference checks

• Financial responsibility assessments/checks.

• Medical Checks and Assessments

Compliance with the necessary combination of these checks is a condition of employment at UNSW.

UNSW is committed to evolving a culture that embraces equity and supports a diverse and inclusive community where everyone can participate fairly, in a safe and respectful environment. We welcome candidates from all backgrounds and encourage applications from people of diverse gender, sexual orientation, cultural and linguistic backgrounds, Aboriginal and Torres Strait Islander background, people with disability and those with caring and family responsibilities. UNSW provides workplace adjustments for people with disability, and access to flexible work options for eligible staff. The University reserves the right not to proceed with any appointment.

Position Description

Advertised: 01 Jun 2026 AUS Eastern Standard Time

Applications close: 31 Jul 2026 AUS Eastern Standard Time

AI/ML Developer-2

Responsibilities:

Zero to AI Engineer