## Qualifications

- This is a great opportunity for someone with 1+ year of SDR experience who wants to build strong foundational sales skills, work closely with senior commercial leaders, and become an expert in the US construction tech market

- Experience in construction tech, construction, manufacturing, industrial, or a similar sector would be a strong advantage

- AI-enabled experience beyond basic ChatGPT usage would also be a bonus

## Benefits

- The package is $50,000 base salary, approximately $20,000 bonus potential, and $20,000 worth of equity spread over four years

- Pay: $40,000.00 - $60,000.00 per year

## Responsibilities

- The role offers exposure to the full sales process, including lead identification, targeted outreach, CRM hygiene, call reviews, commercial strategy, and future progression opportunities into Account Executive, SDR Team Lead, or Customer Success

## Description

We’re hiring an SDR to join our clients US team and focus on outbound cold calling, opening new accounts, and booking qualified meetings. This is a great opportunity for someone with 1+ year of SDR experience who wants to build strong foundational sales skills, work closely with senior commercial leaders, and become an expert in the US construction tech market.

The ideal candidate will be based o

## Qualifications

- Qualified individuals will be required to work with dynamic teams driven by project delivery goals

- They should possess the drive to learn and continuously improve on work performance

- Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions

## Benefits

- Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location

- The full-time salary range for this position is between $130,000 - $160,000

- This position is eligible to participate in an annual incentive program, and information on benefits offered is here _

## Responsibilities

- The AI Scientist will join Pearson’s Automated Scoring Team to provide support for the administration of Pearson’s automated scoring programs and support the execution of initiatives to innovate and improve the delivery of Pearson's automated scoring technologies

- This role will report to and work closely with the Manager of AI Scientist, but it will also support program managers, quality assurance automation engineers, psychometricians, and various internal stakeholders to ensure the quality and reliability of our automated scoring systems

- Train, evaluate, and deploy machine learning models tasked with scoring short answer and essay student responses to formative and summative test administrations from school districts nationwide

## Description

About Pearson’s Automated Scoring Team

As the world's learning company, Pearson helps people make more of their lives through learning. We use our knowledge, passion, and reach to tackle the big problems in education and inspire a love of learning that lasts a lifetime. That is why we need smart people like you. Together, we can transform education and provide boundless opportunities for billions of learners worldwide.

The Automated Scoring team develops machine learning-based models that analyze tens of millions of learner exam responses each year. Our technology is unique and meaningful, providing results quickly on student performance on standardized tests. The AI Scientist will join Pearson’s Automated Scoring Team to provide support for the administration of Pearson’s automated scoring programs and support the execution of initiatives to innovate and improve the delivery of Pearson's automated scoring technologies. This role will report to and work closely with the Manager of AI Scientist, but it will also support program managers, quality assurance automation engineers, psychometricians, and various internal stakeholders to ensure the quality and reliability of our automated scoring systems.

AI Scientist’s Duties & Responsibilities

Listed below are the typical duties and responsibilities expected of an individual for the job title. The items specified below are a guideline of the minimum expectations for the job title; changes will be made on a case-by-case basis for individuals who show potential to take on more opportunities.

- Train, evaluate, and deploy machine learning models tasked with scoring short answer and essay student responses to formative and summative test administrations from school districts nationwide

- Monitor performance of deployed machine learning models to ensure consistent, fair, and unbiased scoring in real time and recalibrate deployed models as needed

- Maintain, update, and improve code base used to train and deploy machine learning models

- Evaluate historical model performance and conduct experiments exploring strategies to potentially improve team modeling techniques and approaches

- Research and stay up-to-date on emerging technologies in the NLP space

- Be a thought leader in automated scoring by attending and presenting at conferences

## Qualifications

Qualified individuals will be required to work with dynamic teams driven by project delivery goals. They should possess the drive to learn and continuously improve on work performance. They must also be detail-oriented and eager to work with peers in producing quality output. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

- Bachelor’s degree in a quantitative field (CS, EE, statistics, math, data science)

- 2+ years professional experience as a software engineer, data scientist, psychometrician, machine learning engineer

- Solid understanding of machine learning principles and current/emerging technologies

- Strong coding & analytics skills including proficiency in Python and Linux commands

- Understanding of or experience with deploying machine learning models into production environments

- Familiarity with software engineering fundamentals (version control, object-oriented and functional programming, database and API access patterns, testing)

- Passionate about agile software processes, data-driven development, reliability, and systematic experimentation

- Strong verbal and written communication skills including the ability to interact effectively with colleagues of varying technical and non-technical abilities

- Curious and always learning habits of mind

- Strong team-oriented approach to work, with excellent interpersonal and communication skills, both oral and written

- Ability to work effectively as a member of a team in a collaborative environment

- Demonstrated ability to manage multiple tasks and projects simultaneously

Experiences That Will Set You Apart

- Advanced degree in a quantitative field (CS, EE, statistics, math, data science)

- Track record of producing machine learning models and production infrastructure at scale

- Familiarity with traditional natural language processing (NLP) techniques and/or latest advancements in large language models (LLMs), generative AI, active learning and reinforcement learning

- Strong experience with machine learning in non-NLP domains

- Experience using containerized technologies such as Docker and/or Kubernetes

Applications will be accepted through July 30. This window may be extended depending on business needs.

Compensation at Pearson is influenced by a wide array of factors including but not limited to skill set, level of experience, and specific location. As required by the California, Colorado, Hawaii, Illinois, Maryland, Minnesota, New Jersey, New York State, New York City, Vermont, Washington State, and Washington DC laws, the pay range for this position is as follows:

The full-time salary range for this position is between $130,000 - $160,000

This position is eligible to participate in an annual incentive program, and information on benefits offered is here _._

## Who we are

At Pearson, our purpose is simple: to help people realize the life they imagine through learning. We believe that every learning opportunity is a chance for a personal breakthrough. We are the world's lifelong learning company. For us, learning isn't just what we do. It's who we are. To learn more: We are Pearson.

Pearson is an Equal Opportunity Employer and a member of E-Verify. Employment decisions are based on qualifications, merit and business need. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, gender expression, age, national origin, protected veteran status, disability status or any other group protected by law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

If you are an individual with a disability and are unable or limited in your ability to use or access our career site as a result of your disability, you may request reasonable accommodations by emailing TalentExperienceGlobalTeam@grp.pearson.com.

Job: Data Engineering

Job Family: TECHNOLOGY

Organization: Assessment & Qualifications

Schedule: FULL_TIME

Workplace Type: Remote

Req ID: 24967

#location

## Qualifications

- Conversational Design & User Experience

- Design intuitive AI applications that prioritize user-centric interactions and seamless experiences

- Bachelor's degree in a technical or business field (e.g., Computer Science, Information Systems, Engineering) or equivalent work experience

## Responsibilities

- This role blends technical implementation expertise with conversational design leadership, enabling customers to build engaging, effective AI agents, including chatbots, voicebots, knowledge assistants, and multimodal experiences

- Lead complex implementations from pilot to full deployment, ensuring scalable, high-performing AI solutions for enterprise customers

- Configure and build CXone AI solutions, covering NLU, IVR/ACD, ASR, digital channels, and knowledge-driven capabilities

## Description

Senior AI Conversation Designer

Germany - Remote

At NiCE, we don't limit our challenges. We challenge our limits. Always. We're ambitious. We're game changers. And we play to win. We set the highest standards and execute beyond them. And if you're like us, we can offer you the ultimate career opportunity that will light a fire within you.

Position Overview

The Professional Services Conversational Designer, AI is a customer-facing, billable role responsible for delivering specialized AI-driven solutions within the NICE CXone Cognigy platform. This role blends technical implementation expertise with conversational design leadership, enabling customers to build engaging, effective AI agents, including chatbots, voicebots, knowledge assistants, and multimodal experiences.

## Key Responsibilities

Technical Implementation

- Lead complex implementations from pilot to full deployment, ensuring scalable, high-performing AI solutions for enterprise customers.

- Configure and build CXone AI solutions, covering NLU, IVR/ACD, ASR, digital channels, and knowledge-driven capabilities.

- Develop AI applications (chatbots and voicebots) with a focus on code quality, architectural rigor, and system stability.

- Integrate systems seamlessly across CRMs, APIs, and customer ecosystems to create cohesive, end-to-end technical architectures.

- Guide successful launches by supporting testing, UAT, go-live readiness, and hypercare with post-deployment optimization.

- Solve complex challenges with strong architectural judgment, creative troubleshooting, and a focus on performance.

- Collaborate across teams to influence product direction and ensure technical deliverables align with customer requirements.

- Enable customers and partners through technical training, configuration workshops, and guidance that builds long-term self-sufficiency.

- Create high-impact documentation that clarifies technical concepts and supports the quick resolution of system issues.

- Showcase solution value by rapidly assembling functional technical demos that help customers make informed decisions.

Conversational Design & User Experience

- Design intuitive AI applications that prioritize user-centric interactions and seamless experiences.

- Define user intents, journeys, and decision paths to map out logical and efficient customer interactions.

- Create detailed dialog flows, scripts, and interaction models for virtual assistants, ensuring clarity and tone consistency.

- Lead conversational design workshops to uncover user needs and align stakeholders on the vision for the experience.

- Develop AI assistant personas and multimodal interaction patterns to humanize the interface.

- Advise clients on conversational strategies, providing expert guidance on UX best practices and usability standards.

Project Management & Collaboration

- Partner with project managers on solution design and delivery.

- Manage lifecycle development, change control, and risk mitigation.

- Deliver enablement for partners and customers.

Leadership & Internal Enablement

- Mentor colleagues on AI configuration and conversational design.

- Produce reusable documentation, templates, and guidelines.

- Advocate for AI and design tooling.

## Qualifications

Education & Experience

- Bachelor's degree in a technical or business field (e.g., Computer Science, Information Systems, Engineering) or equivalent work experience.

- 5+ years of professional experience, including at least 1 year working with digital channels, AI, or bot-driven applications.

Technical & Functional Expertise

- Skilled in configuring AI and contact center technologies, including NLU/NLP/LLM and Agentic-powered solutions.

- Experience supporting large enterprise environments, including complex integrations and deployments at scale.

- Proficient with CRM integrations, APIs, and related ecosystem technologies.

- Knowledge of generative AI models, NLU techniques, automation principles, and emerging trends in digital customer engagement.

- Familiarity with API testing and documentation tools such as Postman and Swagger.

Solution & Delivery Skills

- Ability to design and document workflows using diagramming tools such as Lucidchart or Microsoft Visio.

- Experienced in creating detailed use cases, test plans, and UAT guidance.

- Skilled in managing customer escalations while maintaining strong client relationships.

Desired Personal Traits

- Analytical, inquisitive, and committed to continuous improvement.

- Creative problem-solver able to design solutions for complex challenges.

- Customer-centric with strong empathy for end users and business stakeholders.

- Team-oriented with exceptional interpersonal and collaboration skills.

- Strong facilitation and communication abilities, capable of simplifying complex AI concepts.

- Comfortable navigating ambiguity and iterating in fast-paced environments.

- Systems thinker with an understanding of how technical components and user experience interconnect.

- Early adopter of innovative technologies with a passion for experimentation.

- Strong sense of accountability, ownership, and professional presence.

- Advocate for the effective use of AI tools to improve decision-making and operational efficiency across the organization.

What's in It for You? Join an ever-growing, market-disrupting global company where teams of top talent work in a fast-paced, collaborative, and creative environment. NICE offers endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate about innovation and thrive in dynamic settings, this is your chance to make an impact.

Flexible Work Model: Experience the NICE-FLEX hybrid model with two days in the office and three days of remote work per week, fostering collaboration and innovation while maintaining work-life balance.

About Cognigy

NiCE Cognigy delivers AI that works—fast, human, and enterprise-ready. As the leading AI-first CX platform built for real-world scale, we combine Generative and Conversational AI through orchestration, tools, and enterprise systems to power Agentic AI. Backed by global CX leader NiCE, we empower brands with AI Agents that redefine customer experiences and achieve measurable ROI—instantly, across every channel and in 100+ languages.

About NiCE

NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions.

Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries.

NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.

## Qualifications

- We believe that successful research efforts require a fluid mix of skills including AI/ML expertise, engineering pragmatism, statistics, and market intuition

- Strong publication record at ICML, ICLR, AAAI, NeurIPS, UAI, KDD, or equivalent and/or contributions to open-source AI research

- Strong general ML background with exposure to modern deep learning techniques and/or language modeling architectures (e.g. transformers, SSMs)

## Benefits

- The estimated base salary for this role is $300,000 per year

## Responsibilities

- Our trading teams are each comprised of a dynamic group of traders, quantitative researchers, and engineers who work together to examine the global markets, seeking to understand the complexities of various traded products and exchanges

- They leverage their impeccable statistical analysis and data mining skills, using the results of their research to make forecasts and develop profitable predictive trading models

- The ideal person for this role will be capable of implementing an open-ended research project from concept to production and continuously improving model design, tools, and infrastructure

## Description

Jump Trading Group is committed to world class research. We empower exceptional talents in Mathematics, Physics, and Computer Science to seek scientific boundaries, push through them, and apply cutting edge research to global financial markets. Our culture is unique. Constant innovation requires fearlessness, creativity, intellectual honesty, and a relentless competitive streak. We believe in winn

## Qualifications

- Experience: 12+ years of hands-on data engineering experience, with a Microsoft data technology background sustained throughout your career and demonstrable delivery of AI/ML and Gen AI solutions on Azure

- ◦ Microsoft Fabric — OneLake, lakehouse, data engineering, real-time analytics, and Fabric Data Agents

- ◦ Data Governance and data quality using Microsoft Purview ecosystem

## Benefits

- Pay and Benefits

- The pay range for this position is $136000.00 - $204000.00/yr

- We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected

## Responsibilities

- Practice Architect will design, architect, and deliver intelligent, production-grade solutions spanning Microsoft Fabric, Microsoft Foundry, Azure AI Studio, Microsoft Copilot, and modern Gen AI patterns

- With a hands-on approach, he/she will lead the transformation of data platforms into AI-ready ecosystems — combining robust data modeling, engineering, and Power BI analytics with retrieval-augmented generation, agentic workflows, and LLM-powered applications

- This role demands the versatility to lead diverse engagements, from AI proof-of-concepts to enterprise-scale intelligent platforms, while fostering innovation, responsible AI practices, and measurable client success

## Description

Think of TEKsystems Global Services (TGS) as the growth solution for enterprises today. We unleash growth through technology, strategy, design, execution and operations with a customer-first mindset for bold business leaders. We deliver cloud, data and customer experience solutions. Our partnerships with leading cloud, design and business intelligence platforms fuel our expertise. We value deep relationships, dedication to serving others and inclusion. We drive positive outcomes for our people and our business, and we stay true to our commitments and act in harmony with our words. We exist to create significant opportunity for people to achieve fulfillment through career success.

Ready to join us?

Here’s what the opportunity supported through our TGS Talent Acquisition Team requires:

The Azure Practice Architect (AI/ML) will serve as a senior technical leader at the intersection of enterprise data engineering and applied Generative AI. Building on a deep, career-long Microsoft data foundation. Practice Architect will design, architect, and deliver intelligent, production-grade solutions spanning Microsoft Fabric, Microsoft Foundry, Azure AI Studio, Microsoft Copilot, and modern Gen AI patterns. With a hands-on approach, he/she will lead the transformation of data platforms into AI-ready ecosystems — combining robust data modeling, engineering, and Power BI analytics with retrieval-augmented generation, agentic workflows, and LLM-powered applications. This role demands the versatility to lead diverse engagements, from AI proof-of-concepts to enterprise-scale intelligent platforms, while fostering innovation, responsible AI practices, and measurable client success.

## Key Responsibilities

- Architect AI-Ready Data Platforms: Design and lead the implementation of end-to-end data and AI architectures on Microsoft Fabric — spanning OneLake, lakehouse, data engineering, Microsoft Purview and Fabric Data Agents — engineered to serve as the trusted foundation for Gen AI and analytics workloads.

- Generative AI Solution Design: Architect and deliver Gen AI solutions using Microsoft Foundry and Azure AI Studio, including RAG pipelines, prompt engineering, model selection and evaluation, grounding on enterprise data, fine-tuning, and safe, scalable deployment of LLM-powered applications. Operationalize Microsoft Copilot experiences and custom copilots/agents, integrating enterprise data sources.

- Data Engineering & Modeling Excellence: Build and optimize enterprise-grade data pipelines and semantic models — applying best practices in dimensional modeling, medallion architecture, ETL/ELT, and data quality — to make data reliable, governed, and consumable by AI systems.

- Power BI & Intelligent Analytics: Develop and optimize interactive Power BI dashboards and semantic models, embedding Copilot and AI-driven insights, natural-language querying, and real-time reporting over large-scale datasets.

- Hands-On Delivery: Actively contribute to code development, notebook and pipeline authoring, prompt and agent development, evaluation, and deployment across Azure environments — rolling up your sleeves to unblock teams and keep engagements moving.

- Engagement Leadership: Drive AI/ML and data engagements end-to-end — from discovery, use-case shaping, and solution scoping through deployment, optimization, and knowledge transfer — adapting to diverse client needs and evolving Microsoft AI capabilities.

- Collaboration & Innovation: Partner with data engineers, data scientists, business stakeholders, and Microsoft field teams to align AI solutions with business value; stay ahead of the Microsoft AI roadmap to recommend forward-thinking, differentiated architectures.

- Mentorship & Best Practices: Guide and upskill team members on Fabric, Gen AI, and agentic patterns; conduct design and code reviews; and champion reusable accelerators, reference architectures, and delivery standards.

Required Qualifications

- Experience: 12+ years of hands-on data engineering experience, with a Microsoft data technology background sustained throughout your career and demonstrable delivery of AI/ML and Gen AI solutions on Azure.

- Core Technical

## Skills

◦ Microsoft Fabric — OneLake, lakehouse, data engineering, real-time analytics, and Fabric Data Agents.

◦ Microsoft Foundry and Azure AI Studio — building, evaluating, and deploying Gen AI applications and agents.

◦ Microsoft Copilot — designing, extending, and operationalizing copilot and agentic experiences.

◦ Generative AI — RAG, prompt engineering, embeddings/vector search, model selection, fine-tuning, and evaluation.

◦ Power BI — semantic modeling, DAX, Power Query, Copilot for Power BI, and integration with Fabric.

◦ Data Modeling & Data Engineering — dimensional modeling, medallion architecture, ETL/ELT, and pipeline orchestration using Azure-native tools.

◦ Data Governance and data quality using Microsoft Purview ecosystem.

- Hands-On Mindset: Proven ability to perform technical implementation, troubleshooting, and optimization across data and AI workloads in fast-paced environments.

- Flexibility: Versatility in leading varied engagements — from AI proof-of-concepts and modernizations to enterprise-scale intelligent platforms.

- Communication: Excellent verbal and written communication skills, with the ability to articulate complex AI and data concepts to technical and non-technical audiences and to facilitate workshops.

Job Type & Location

This is a Permanent position based out of Dallas, TX.

Pay and Benefits

The pay range for this position is $136000.00 - $204000.00/yr.

We reserve the right to pay above or below the posted wage based on factors unrelated to sex, race, or any other protected

classification.

Additional earnings may be available through incentive programs like annual bonuses, profit sharing, etc.

Our full-time, internal employment benefits include the following:

- Medical, Dental, and Vision

- Critical Illness, Accident, and Hospital

- 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available

- Life Insurance (Voluntary Life and AD&D for employee and dependents)

- Short and Long-Term Disability

- Health Spending Account (HSA)

- Transportation Benefits

- Employee Assistance Program

- Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a fully remote position.

Application Deadline

This position is anticipated to close on Jul 29, 2026.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.

📍 Calgary, CA

## About The Role

We are seeking a results-driven AI Solution Sales professional to lead our go-to-market strategy and drive sales of our next-generation AI applications and agentic AI solutions. You will be responsible for identifying and closing new business opportunities, building strong client relationships, and evangelizing the value of Real AI's cutting-edge technology.

## Responsibilities

- Develop and execute a strategic sales plan to achieve sales targets and expand our customer base.

- Build and maintain strong, long-lasting customer relationships by understanding their business needs and objectives.

- Effectively communicate the value proposition through proposals and presentations.

- Partner with the engineering team to provide feedback from the market and inform product development.

- Stay up-to-date with industry trends and the competitive landscape.

## Qualifications

- Proven sales experience, consistently meeting or exceeding targets.

- Experience in technology or SaaS sales, with a strong preference for AI or enterprise software.

- Excellent communication, negotiation, and presentation skills.

- Ability to articulate complex technical concepts to both technical and non-technical audiences.

- Strong business acumen and a proactive, self-starter attitude.

## Application Status

Applications Closed

Thank you for your interest in this role. We are no longer accepting new applications for this position. We encourage you to send your resume to admin@real-ai.org for consideration in future openings.

Executive AI Transformation Lead

Qatar (Open to global talent)

Full package to be disclosed on a call + family benefits & schooling.

Are you passionate about helping organisations turn AI strategy into real business outcomes?

We're partnering with a global organisation seeking an experienced AI leader to work alongside executive stakeholders, shaping enterprise AI strategy while driving the successful delivery of high-impact AI and GenAI initiatives.

This is a unique opportunity for someone who enjoys operating at both strategic and technical levels advising senior leadership, identifying opportunities for innovation, and overseeing implementation from concept through to business adoption.

Responsibilities:

- Identify high-value AI opportunities across business operations and customer-facing functions.

- Develop AI roadmaps, business cases and implementation plans aligned with organisational objectives.

- Partner with executive leadership to define and execute AI transformation strategies.

- Lead end-to-end delivery of AI initiatives, from discovery and solution design through to deployment and adoption.

- Work closely with technical teams and business stakeholders to ensure successful execution and measurable business outcomes.

- Promote AI governance, best practices and sustainable capability across the organisation.

Requirements:

- At least 7 years' experience within AI, Digital Transformation, Enterprise Technology or Management Consulting.

- A proven track record of advising C-suite and senior executives on AI strategy, technology investment and business transformation.

- Recent hands-on experience delivering AI, Generative AI, Analytics or Intelligent Automation initiatives that have delivered measurable commercial or operational value.

- Experience owning the full lifecycle of transformation programmesâ€”from identifying opportunities and defining strategy through to roadmap development, implementation and business adoption.

- Strong knowledge of modern AI technologies including LLMs, Retrieval-Augmented Generation (RAG), AI Agents and Copilot solutions.

- Experience working with Azure, AWS, Google Cloud or NVIDIA AI technologies.

- Public sector or government transformation experience.

- Arabic speaker, preferred

- *Please note only successful applicants will be contacted**

Software Engineer â€“ AI Evaluation (Remote)

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Language Requirement: English Working Hours: 8 to 5

Job descriptions & requirements

- Role: Software Engineer â€“ AI Evaluation (Remote)

- Location: Remote (Work from Anywhere)

- Job Type: Part-Time

- Payout: Competitive, based on experience

Role Overview:

We are hiring for one of our clients, seeking a Senior Software Engineer â€“ LLM Evaluation (US/Canada/WEU based) to work on a part-time basis. You will create cutting-edge datasets for training, benchmarking, and advancing large language models while collaborating closely with researchers. This includes curating code examples, refining AI-generated code, and designing verification mechanisms for software engineering tasks.

Key Responsibilities:

- Curate code examples, provide precise solutions, and make corrections in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go.

- Evaluate and refine AI-generated code for efficiency, scalability, and reliability.

- Collaborate with cross-functional teams to enhance enterprise-level AI-driven coding solutions against industry benchmarks.

- Build verification agents to assess code quality and identify error patterns.

- Hypothesize on software engineering lifecycle steps and evaluate model capabilities against them.

Required Skills & Qualifications:

- Several years of software engineering experience (3 years or more).

- Strong expertise in building full-stack applications and deploying scalable, production-grade software.

- Deep understanding of software engineering principles including prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, and operational maintenance.

- Proficiency in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go.

- Experience designing verification mechanisms for automated solution validation.

More About the Opportunity:

This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet | IT Services and IT Consulting | Data Infrastructure and Analytics | Research Services industry, contributing to the advancement of frontier AI systems. The position supports customers in accelerating research and transforming AI proofs of concept into proprietary intelligence.

Equal Opportunity Employer:

We hire based on skills and expertise. All qualified candidates are welcome regardless of background, experience, or prior employment history. Applications are reviewed solely on demonstrated technical ability and qualifications.

Apply Now!

## WHY JOIN US?

We practice a vibrant & energetic office culture. We provide opportunities for career advancement within the company. Good performance is always rewarded accordingly. â€œIt's our people that make Astro Malaysiaâ€™s leading entertainment company. We are an inclusive employer, to enable everyone at Astro to be their best. We embrace differences â€“ we celebrate it, we support it, and we thrive on it for the benefit of our employees, our products/services and our community. We also understand and appreciate that diversity is a driver of creativity and innovation, which will make our business more competitive, compelling and profitable.â€ ## Responsibilities

## What You Will Do We are seeking a highly experienced Manager for Enterprise AI Solutions Specialists to lead a team responsible for designing, delivering, and scaling AI-powered solutions across Microsoft Azure and Microsoft 365 ecosystems. This role will drive strategic adoption of Generative AI, Copilot, Azure AI services, and enterprise automation while aligning with business objectives and governance standards. The ideal candidate combines technical depth, leadership capability, and business acumen to accelerate transformation initiatives across the organization. This role is also meant to deploy and managed both hybrid solutions. ### Hybrid Identity & Directory Services

Manage Hybrid Active Directory and integrate internal and external applications with enterprise identity services. Configure and support SSO (SAML, OAuth 2.0, OIDC) and enforce MFA. Troubleshoot authentication and signâ€‘in issues. ### Azure Cloud Operations

Monitor and maintain Azure services for performance, availability, and reliability. Troubleshoot cloud issues with minimal business impact. Govern Azure resources and ensure compliance with security and regulatory standards. ### Microsoft 365 Administration

Administer Exchange Online, including mailboxes, distribution groups, mail flow, and DLP policies. Manage OneDrive for Business and SharePoint Online, including permissions, collaboration, and sync issues. Administer Microsoft Teams, including policies, guest access, and user support while tracking feature updates. ### Security & Compliance

Enforce security controls and policies across Microsoft 365 and Azure. Conduct periodic security reviews and audits. ### End-User & Operational Support

Provide Level 2/3 support for Microsoft 365 and Azure services. Act as a technical escalation point and subject matter expert. ### On-Premises Infrastructure Administration

Oversee Windows and Linux/Unix servers to ensure availability, performance, and stability. Manage onâ€‘prem infrastructure including compute, storage & backup. Implement system hardening, patching, access control, monitoring, and capacity planning. ### Vendor, Project & Stakeholder Management

Manage vendors to ensure SLA, KPI, security, and contractual compliance. Lead endâ€‘toâ€‘end delivery of infrastructure and cloud projects. ### Delivery and Governance

Oversee the end-to-end lifecycle of AI solutions: Establish best practices, frameworks, and reusable assets Ensure compliance with enterprise governance, data privacy, and AI ethics policies ### AI Strategy & Execution

Define and execute enterprise AI strategy leveraging: Azure AI Services (OpenAI, Cognitive Services, Machine Learning, AI Studio) Microsoft 365 Copilot & extensibility (Graph, plugins, agents) Identify high-value use cases and prioritize AI initiatives with measurable ROI Partner with business and technology stakeholders to drive adoption Drive experimentation (POCs, pilots) and scale successful solutions ## Requirements

## Who You Are 1. Computer Science background (minimum level â€“ degree).

2. Experience using business analysis and project management skills.

3. Experience in managing development team.

4. Technical Development experience and methodologies.

5. Ability to document processes, writing of software design specifications and user cases.

6. Ability to interact with vendor, users and third parties as appropriate.

7. Project management skills, organization of project scopes and materials.

8. Experience in best-practice design, consulting and research analysis.

9. The ability to communicate, both orally and in writing, clearly and succinctly. Demonstrates good listening and comprehension skills.

10. Is a high achiever with result oriented focus.

11. Ability to build and manage relationship with vendor and users, including all levels of management.

12. PC literate (hands on experience with MS Office applications, MS Project). Training and/or certification in relevant area such as:

1. Java 2. MS .NET 3. Oracle,

4. Microsoft SQL, Astro Malaysia Holdings Berhad (â€œAstroâ€) is Malaysiaâ€™s leading content and consumer company, serving 75% of Malaysian households across our TV, radio, digital and commerce platforms. As a trusted brand, Astro keeps Malaysians entertained and informed with a variety of vernacular, international and live sports content, engaging with 24 million individuals. To learn more about Astro, kindly login to www.astro.com.my

## About the Role

Qualcomm is seeking a Machine Learning Applications Engineer â€“ AI Inference & Model Optimization to support the enablement of rackâ€‘scale deep learning workloads on advanced Qualcomm AI inference accelerators. This customerâ€‘facing, highly technical role focuses on porting, optimizing, and validating deep learning AI models on production systems and enabling Qualcommâ€™s partners to develop and deploy advanced machine learning applications, including computer vision, speech, generative AI, and stateâ€‘ofâ€‘theâ€‘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 crossâ€‘functional teams, and proficiency in machine learning frameworks, Linux, and container orchestration tools.

What Youâ€™ll Do A) AI Model Porting & Optimizen

- Deploy, optimize, and scale deep learning AI models onto acceleratorâ€‘based data center platforms, including model conversion workflows, quantization techniques (INT8 / mixed precision), runtime integration and optimization, and integration onto Qualcommâ€™s Cloud AI ML stack from frameworks such as PyTorch, TensorFlow, and ONNX.

- Drive improvements in model throughput, latency, and accuracy, with clear tradeâ€‘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 multiâ€‘SoC and multiâ€‘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 Qualcommâ€™s Cloud AI GitHub repository and developer documentation, sharing technical best practices and solutions.

- Develop and integrate endâ€‘toâ€‘end ML application pipelines with customer frameworks and libraries.

## B) Customerâ€‘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) Modelâ€“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) Endâ€‘toâ€‘End AI Pipeline Design

- Drive discussions around endâ€‘toâ€‘end AI pipelines, including multiâ€‘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 realâ€‘time constraints.

## F) Model Tradeâ€‘off Analysis & Validation

- Highlight and explain tradeâ€‘offs between accuracy vs compatibility and model quality vs deployment feasibility.

- Support decisionâ€‘making on model simplification vs performance gains and precision vs efficiency tradeâ€‘offs.

- Lead or support model capability validation in deployment environments.

- Collaborate with customers to define inference assumptions and model sizing strategies for largeâ€‘scale workloads.

## Required Qualifications

- Bachelorâ€™s degree in Computer Science, Computer Engineering, Electrical Engineering, or related field (or equivalent experience).

- 10â€“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 Linuxâ€‘based systems.

- Handsâ€‘on expertise with lowâ€‘level software, drivers, and system bringâ€‘up.

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

- Solid understanding of AI inference hardware constraints, systemâ€‘level performance bottlenecks, and customerâ€‘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 multiâ€‘model workflows and building realâ€‘time AI systems (computer vision, video, analytics).

- Knowledge of distributed inference methods and largeâ€‘scale model deployments.

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

- Deep understanding of how systemâ€‘level decisions affect performance in deployment environments.

- Capability to simplify complex technical ideas for clients.

- Handsâ€‘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.

- Customerâ€‘facing experience translating requirements into technical solutions.

- Ability to build and deliver technical demos, proofsâ€‘ofâ€‘concept, and reference applications for ML/GenAI workloads.

- Strong technical writing skills for customerâ€‘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 performanceâ€‘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 equalâ€‘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 disabilityâ€‘View email address on click.appcast.io for accommodation requests.

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Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.

Our Tensix Team is building the future of AI compute with a ground-up architecture centered on scalable RISC-V processors. As we push performance boundaries, weâ€™re reimagining the frontend of our RISC-V cores to deliver major gains in programmability, efficiency, and developer experience. This is a rare opportunity to shape the CPU architecture at the heart of our AI platform and lead one of the most strategic technical efforts at Tenstorrent.

This role is hybrid, based out of Toronto, ON, Austin, TX or Santa Clara, CA.

We welcome candidates at various experience levels. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

Who You Are

- Experienced Microarchitect: 10+ years of deep expertise in CPU performance modeling and microarchitecture design.

- AI Workload Expert: Deeply familiar with the computational and memory bottlenecks of modern AI workloads, particularly Large Language Models (LLMs).

- Hardware-Software Co-Designer: Driven to architect custom instruction set extensions and validate their performance gains against real-world workloads.

- Ways to stand-out: Familiarity with open-source RISC-V cores, AI-based agentic workflow experience

## What We Need

- Profile & Analyze: Dissect cutting-edge AI workloads to identify execution bottlenecks and translate those insights into definitive CPU performance requirements.

- Architect High-Performance Cores: Drive the microarchitecture of custom RISC-V CPU cores, balancing aggressive Performance, Power, and Area (PPA) targets.

- Innovate the ISA: Design and implement custom instructions that unlock massive performance gains without sacrificing compiler programmability or developer velocity.

- Cross-Functional Collaboration: Partner tightly across compiler, software, and hardware teams to co-design Tenstorrentâ€™s next-generation AI compute architecture.

## What You Will Learn

- How modern AI models stress CPU architecture and influence design decisions.

- The interplay between compiler design, CPU microarchitecture, and real-world performance.

- How Tenstorrentâ€™s unified hardware-software stack enables breakthrough performance for general-purpose AI compute.

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology. Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2). These requirements apply to persons located in the U.S. and all countries outside the U.S. As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency. If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

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