## Job Summary

We are looking for a hands-on Junior IT & AI Automation Engineer to join our team and support our day-to-day IT operations while helping us develop practical AI and business automation solutions.

## What You’ll Do

- Provide day-to-day IT support for users, computers, networks, Microsoft 365, access permissions, backups, and basic cybersecurity.
- Assist with Windows/Linux servers, virtualization, cloud services, monitoring, and troubleshooting.
- Build and maintain practical business automations using tools such as Microsoft Power Automate, n8n, APIs, Python, or PowerShell.
- Assist in developing AI agents that can work with business documents and systems, with appropriate permissions, human approval for sensitive actions, testing, and documentation.
- Support our Microsoft 365 migration and Microsoft Dynamics 365 Business Central project, including testing, documentation, and coordination with external suppliers under the supervision of the IT team.
- Troubleshoot issues, identify practical solutions, and continuously look for ways to improve IT processes through automation.

## Requirements

- 1–3 years of relevant IT experience; strong fresh graduates with demonstrable projects are also encouraged to apply.
- Good understanding of IT fundamentals, networking, Windows/Linux, and basic server administration.
- Basic knowledge of scripting and APIs, preferably Python or PowerShell.
- Hands-on experience with Power Automate, n8n, or similar automation tools is an advantage.
- Demonstrable experience with an AI agent, automation, or AI-powered business project is highly preferred.
- Good communication and problem-solving skills.
- A hands-on attitude with a strong willingness to learn and experiment with new technologies.

Job Type: Permanent

## Experience

- AI Automation: 2 years (Required)
- practical skills: 3 years (Required)

## Location

- Dubai (Required)

Work Location: In person

## About the Applied AI Tribe

The Applied AI Tribe is talabat's internal AI engine, a team obsessed with turning cutting-edge AI into genuine, measurable business value. We don't build AI for its own sake. Our north star is Net AI Value Delivered.

We have shipped 40+ AI products across four strategic streams:

- Product & Tech Platform - AI capabilities embedded into talabat's core product and engineering platform.
- Business Automations - streamlined workflows that save real time and money across operations.
- Self-Serve AI Tools - empowering talabatis to build and use AI without needing to raise a ticket.
- Training & Onboarding - upskilling the tribe so every team can participate in the AI era.

Our engineering approach is built around shipping agentic AI systems at scale, with a harness-first philosophy, evaluation embedded into every product iteration, and production feedback loops that drive the roadmap.

## The Role

As Manager, Data Scientist - AI within the Applied AI Tribe, you will lead a team of data scientists building and shipping the ML and generative AI systems that power decisions across talabat's product and business. You are equally a people leader and a technical practitioner, close enough to the work to make great technical decisions and grow your team, while owning the roadmap and delivery.

Your team's work spans the full AI lifecycle: from framing ambiguous business problems through data modelling, feature engineering, model training, deployment, and production monitoring. A significant focus will be leveraging LLMs, agentic systems, and generative AI to automate decisions, enrich data, and build intelligent experiences at scale, all measured against Net AI Value Delivered.

## People Leadership

- Lead, grow, and retain a team of data scientists, setting a high bar for technical quality, fostering a culture of ownership, and supporting each person's career development.
- Partner with recruiting to attract top data science and ML talent as the tribe scales.
- Mentor team members in ML best practices, agentic system design, production engineering, and stakeholder communication.
- Run effective team rituals, planning, design reviews, retrospectives, that keep the team aligned and moving with pace.

## Technical Strategy & Delivery

- Translate ambiguous business problems into well-scoped ML and AI solutions with clear, measurable success criteria tied to the tribe's north star.
- Own the team's technical roadmap: prioritise high-impact work across data enrichment, business automation, self-serve tooling, and agentic product features.
- Champion harness-first thinking, ensure evaluation pipelines, LLM observability, tooling, and infrastructure are in place before agent logic is built on top.
- Embed evaluation into every product iteration: golden datasets, stakeholder-aligned metrics, and weekly eval jobs that guide what gets built, fixed, or retired.
- Oversee the full ML lifecycle: data pipelines, feature engineering, model training, production deployment, serving, and monitoring.
- Drive adoption of LLMs and generative AI for data enrichment, smart content understanding, and automated decision-making at scale.
- Design and analyse experiments (A/B and multivariate) to rigorously measure model and product impact.
- Elevate ML and engineering standards across the team, improving MLOps, code quality, tooling, and internal learning programmes.

## Cross-functional Partnership

- Partner with product managers and business teams to identify high-value AI opportunities and shape them into the team's roadmap.
- Communicate clearly with senior stakeholders, from problem framing through to results and recommendations.
- Collaborate with engineering teams to understand data systems, build reliable data models, and ensure smooth production integration.

## Technical Experience

- Deep expertise in machine learning, generative AI, deep learning, NLP, recommendation systems, and data mining.
- Hands-on knowledge of ML and GenAI frameworks: Scikit-learn, XGBoost, LightGBM, PyTorch, TensorFlow, Transformers, and LLM fine-tuning.
- Proficiency with the OpenAI SDK and familiarity with major LLM provider APIs for building and orchestrating production AI systems.
- Hands-on experience with LangGraph for building stateful, multi-step agentic workflows and complex agent orchestration patterns.
- Experience with Hugging Face (Transformers, Hub, Inference API) for model sourcing, fine-tuning, and deployment.
- Solid understanding of embeddings, dense and sparse retrieval, vector databases, and semantic search, for building RAG pipelines and similarity-based applications.
- Strong software engineering fundamentals: clean production code, data structures and algorithms, ML system design.
- Proven experience shipping and monitoring ML models in production, with a solid grasp of MLOps practices.
- Strong data and ML engineering skills: building and orchestrating data pipelines (e.g., Airflow) and robust feature engineering.
- Excellent SQL and Python; solid statistical foundations including experiment design, causal inference, and predictive methods.
- Familiarity with agentic system design (harness-first thinking, LLM observability, evaluation pipelines, and production feedback loops) is a strong plus.
- Experience with BigQuery and Google Cloud Platform is a plus.

## Qualifications

- Bachelor's degree in Engineering, Computer Science, or a related field. A postgraduate degree is a plus.
- 6+ years of experience in data science, ML engineering, and/or generative AI, including shipping models to production.
- 2+ years managing or leading a data science or ML team, with a track record of developing talent and delivering through others.
- Experience building ML systems in an online consumer product environment is a strong plus.

## Who we are

Since launching in Kuwait in 2004, talabat, the leading on-demand food and Q-commerce app for everyday deliveries, has been offering convenience and reliability to its customers. talabat’s local roots run deep, offering a real understanding of the needs of the communities we serve in eight countries across the region.

We harness innovative technology and knowledge to simplify everyday life for our customers, optimize operations for our restaurants and local shops, and provide our riders with reliable earning opportunities daily.

Here at talabat, we are building a high performance culture through engaged workforce and growing talent density. We're all about keeping it real and making a difference. Our 6,000+ strong talabaty are on an awesome mission to spread positive vibes. We are proud to be a multi great place to work award winner.

What's in it for you

## Mindset & Ways of Working

- Curiosity over certainty: you're excited to try the new model or framework this week.
- Ownership: you treat cost, latency, and business impact as your problem, and your team's.
- Bias to build: a prototype in a real workflow beats a perfect design doc every time.
- Comfortable with ambiguity: most of what we build has no playbook yet, and you help write it.
- Keep it simple: pick the approach that delivers the most value with the least complexity, and #makeithappen.

At talabat, your success is defined by both results and behaviors. We hire for excellence in craft and for the Leadership Principles that shape how we think, decide, and collaborate. What you achieve matters, and how you achieve it defines us. Together, they move the business forward and deliver great experiences. Learn more about our Leadership Principles here.

## About Sidekick Machines

Sidekick Machines is an AI startup that builds and runs AI agents for enterprises. Most agent projects stall on infrastructure: identity, security, integrations, approvals, monitoring and cost. We built our own platform, Sidekick, on Microsoft's agent stack to handle that infrastructure. Our engineers spend their time on the work that matters, and we stay on to run every agent we ship.

Agentic AI is new, and nobody has a decade of it. We hire people with strong fundamentals and the drive to figure things out, and we teach the rest.

## The role

Every company wants AI agents. Very few get one into production, because most of the effort goes into plumbing: identity, security, integrations, hosting and monitoring. At Sidekick, the platform already handles that. Your job is to work with client teams, understand how their work gets done, and build agents that take on that work.

This role suits people from consulting and systems integration who have delivered enterprise technology projects and want to focus on the business problem.

## What you'll do

- Work with client teams to understand their day-to-day work, their business workflows and the enterprise systems behind them.
- Design the agent: what it handles on its own, and what it hands back to a person.
- Build it on the Sidekick platform with skills, prompts, tool calls, hooks and integrations.
- Get it in front of real users, prove it works, and hand it to our Agent Operations team to run.
- Tell us what slowed you down, so the platform gets better with every engagement.

## What we're looking for

- 10+ years of client-facing delivery experience at a consultancy or systems integrator, as a technical consultant, solution architect, implementation engineer or developer.
- Hands-on technical skill. You can write code, work with APIs and find your way around enterprise systems like ERP, CRM and Microsoft 365.
- The ability to sit with a domain expert, ask the right questions and turn a messy process into clear logic.
- Comfort presenting to anyone from frontline staff to executives.
- Curiosity, resourcefulness, and a habit of owning outcomes rather than task lists.
- Ability to travel within the Canada and USA are required for client meetings/deployments.

## Bonus

- You've built something with LLMs, even on the side.
- Experience in the Microsoft ecosystem (Azure, Microsoft 365, Teams).

## Training

You'll learn the Sidekick platform and how we build agents from the team, then pair with an experienced FDE on a live engagement before you lead your own.

## Compensation and how to apply

- Compensation: Salary plus ESOPs
- To apply: careers@sidekickmachines.com

## The Opportunity

As part of the AI Engineering team within the Digital Assurance & Technology team, you will be at the forefront of transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Assurance practice, you will develop and implement advanced AI and machine learning solutions to drive innovation and enhance business processes. Your work will involve designing and optimizing algorithms, models, and systems to enable intelligent decision-making and automation. You will lead deliver of workstreams involving testing and evaluation of AI-enabled systems, review technical evidence and control effectiveness, and guide development of reusable tools that support responsible, reliable AI deployment.

As a Manager, you will lead teams and manage client accounts, focusing on strategic planning and mentoring junior staff. You are accountable for confirming project success and maintaining standards. Enhancing your leadership style, you motivate, develop, and inspire others to deliver quality. You are responsible for coaching, leveraging team members' unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.

## Responsibilities

- Leading the development and implementation of advanced AI and machine learning solutions to drive innovation and enhance business processes
- Designing and optimizing algorithms, models, and systems to enable intelligent decision-making and automation
- Transforming raw data into actionable insights to support informed decision-making and drive business growth
- Managing complex data analysis and integration to improve data quality and infrastructure
- Overseeing data modeling and relational database management to support robust data solutions
- Mentoring team members to leverage their unique strengths and manage performance to meet client expectations
- Addressing conflicts or issues by engaging in difficult conversations with clients and stakeholders
- Upholding professional and technical standards, including the firm's code of conduct and independence requirements
- Encouraging the development of skills outside comfort zones and promoting teamwork and intellectual curiosity
- Defining and reviewing testing approaches for AI system behavior, performance, robustness, bias, explainability, and failure modes
- Reviewing technical controls and evidence to confirm findings, limitations, and recommendations are clear and defensible
- Leading the development of reusable evaluation tools, automated tests, reference datasets, monitoring capabilities, and evidence workflows

## What You Must Have

- At least a Bachelor's degree
- At least 4 years of experience

## What Sets You Apart

- Preference for at least one of the following fields of study: Analytics/Data Science, Artificial Intelligence/Robotics, Computer Science/Information Systems, Engineering
- Excelling in AI implementation and complex data analysis
- Utilizing Python and programming languages for data modeling
- Developing data infrastructure and integration strategies
- Implementing machine learning and deep learning techniques
- Analyzing sentiment and pattern recognition for text analytics
- Leading technical teams supporting production AI deployment, monitoring, evaluation, and incident response
- Applying rigorous evaluation across failure modes, bias, drift, hallucinations, explainability, and guardrails
- Making and communicating architecture trade-offs to deliver measurable, defensible outcomes
- Measuring and communicating technical and business outcomes using defined methods
- Translating technical findings, limitations, and architecture trade-offs for clients and non-technical stakeholders
- Coaching team members while maintaining delivery quality

The salary range for this position is: $99,000 - $252,450. For residents of Washington state the salary range for this position is: $99,000 - $297,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glance

As PwC is an equal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.

PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.

Learn more about how we work: https://pwc.to/how-we-work

For only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.

This is a project-based opportunity on an AI training platform. No fixed hours, no commitment beyond what fits your schedule. You talk, you get paid.

## About The Role

We're looking for bilingual speakers to record short, casual voice clips where they naturally mix English with Chinese - the way they'd actually talk in real life. No script, no scenarios, just you talking about your day, your opinions, whatever comes naturally.

Do you switch between English and Chinese mid-sentence without even thinking about it? Rant about your day, discuss your favorite show, think out loud with different languages - say it exactly how you'd say it to a friend. What if you could get paid just for recording it?

## Responsibilities

- Record 1-2 minute voice clips responding to a prompt or reacting to a short video
- Speak naturally, switching between English and Chinese the way you normally would in everyday conversation
- Complete a few clips per recording session

## Requirements

- Language: Fully bilingual - fluent or native in both English and Chinese, and someone who naturally mixes the two when speaking
- Equipment: Any device works, including your phone - no studio or special equipment needed
- Recording environment: A quiet room with no background music, TV, traffic, or other people talking
- Audio quality: Clear voice, close to the mic, one speaker only, no echo. A headset or earbuds with a mic helps but isn't required
- Note: Quiet, clean audio matters most - background noise or unclear speech can affect approval

## Why is this freelance opportunity a great fit for you?

- Get paid to talk - no perfect grammar, no formality: earn up to $30/hour depending on your pace and approval rate
- Do it from your couch, your phone, wherever's comfortable
- Flexible, from home, paid per approved recording
- If you naturally mix Chinese and English when you speak, you're exactly who we're looking for

## About BOI

BOI is an AI Transformation Studio that helps ambitious companies redesign their growth engines for the autonomous age. We bring together unusually strong people in frontier enterprise AI, then give them the ownership to make it happen.

AI is rapidly reshaping how companies grow: how they innovate, acquire customers, personalize experiences, and scale commercial performance. Yet most organizations struggle to move beyond pilots and point solutions toward AI-enabled growth systems that actually work at enterprise scale.

## About The Role

As an Applied AI Lead, you will lead the day-to-day delivery of complex AI engagements, working across strategy, product, technology, and transformation to turn ambitious ideas into solutions that create real business value.

Working closely with our Directors and Managing Director of Applied AI, you'll help clients identify where AI can make a meaningful difference, shape what to build, and work with cross-functional teams to get it into the hands of real users. You'll move between business cases and roadmaps, product discovery and prototyping, delivery and adoption depending on what the problem requires.

Applied AI is your major, but you're a generalist at heart. You can zoom out to understand the broader business and transformation challenge, then zoom in to help turn an opportunity into something tangible. You understand the distance between a compelling AI demo and a solution that works in the real world.

You'll also bring credibility through practice. You use AI every day and have built your own workflows, tools, automations, or prototypes. We believe the best people to help companies apply AI are those who live it themselves.

As you grow in the role, you'll take increasing ownership of client relationships, proposals, and commercial opportunities, with coaching and support from Directors.

## Connect Applied AI to Broader Transformation

- Connect what you're building to the bigger picture: the business case, roadmap, capabilities, operating changes, and adoption required to create lasting value
- Help clients understand what needs to change around the technology for AI solutions to succeed at scale
- Translate lessons from individual products and use cases into broader implications for how the organization operates
- Know when the answer isn't another AI product, and bring broader strategy and transformation thinking when that's what the problem requires

## Turn AI Opportunities Into Working Solutions

- Translate business priorities and user problems into AI opportunities worth pursuing
- Lead product discovery with client teams and end users to understand workflows, define problems, and determine where AI can create meaningful value
- Shape AI products and solutions from early concept through prototype, build, deployment, and adoption
- Define what to build first, what success looks like, and what to cut, keeping teams focused on the optimal path to value
- Lead AI engineers, designers, and client teams to translate between business needs, user needs, and technical feasibility
- Prototype and test ideas using modern AI tools, agents, workflows, and automations
- Keep the work grounded in real users and measurable outcomes, not technology for technology's sake

## Lead Complex Client Delivery

- Own the day-to-day delivery of complex AI engagements, maintaining a high bar across multiple workstreams
- Structure work, set priorities, and keep cross-functional teams moving
- Navigate ambiguity with confidence, proactively solving problems and making pragmatic decisions without waiting for direction
- Build trusted relationships with senior client stakeholders by leading workshops, challenging assumptions, and bringing structure to complex problems
- Stay hands-on in the work while keeping sight of the broader objective and what the client needs to do next

## Requirements

- 4+ years of experience in consulting, agency, venture building, or product
- Experience taking AI products, solutions, or use cases from problem definition through prototype, build, deployment, or adoption
- Demonstrated hands-on use of modern AI tools in your own work. You've built workflows, automations, copilots, agents, or other practical AI solutions- not just advised clients on them
- Experience leading significant workstreams or owning delivery for strategy or transformation engagements
- Experience with the broader transformation required to make AI stick — whether through business cases, roadmaps, operating models, capability building, adoption, or change
- Experience contributing to proposal development, engagement scoping, or growing existing client accounts
- Strong ability to translate between business ambition and technical feasibility
- Comfort operating in complex stakeholder environments with senior leaders

## What We Screen For

We are deliberately not-for-everyone. We look for a specific combination of qualities:

- Low ego- You're confident, but grounded. You own mistakes, invite critique, share credit, and make the team better
- High aptitude- You learn fast. You think clearly. You simplify complexity. You don't just execute- you understand. You've worked on complex strategy or transformation engagements and know the difference between what looks good in a deck and what actually works in practice
- High ownership- You don't wait to be told. You move things forward, take responsibility beyond your role, and stay resourceful in ambiguity
- Driven - You focus on outcomes, not activity.
- Commercial sharpness - You recognize the problems worth solving, understand what creates value for clients, and spot opportunities to turn great work into broader relationships
- Passionate about AI - You use AI daily. You experiment, build, and stay close to what's changing. You've built your own workflows, tools, automations, agents, or prototypes - you don't work with AI from the sidelines

## Benefits

Salary: Up to $170,000 base, plus performance bonus.

We also offer comprehensive health benefits, 401(k), 25 days PTO, hybrid working, professional development support, and the opportunity to work alongside some of the world's leading AI practitioners on high-impact enterprise transformations.

Position: Intelligence Expert (Bachelor's, Master's and PhDs) - AI Trainer

Category: Frontier Model Evaluation | Pay: $200/hr

Location: Remote — US-eligible | Contractor

## About the role

Intelligence Expert (Bachelor's, Master's and PhDs) - AI Trainer is a remote evaluation track for reviewing intelligence ai trainer evaluation prompts and responses against Aura One's quality rubric. Reviewers compare paired outputs, label edge cases, and write the kind of structured feedback the modeling team can use to retrain. AI data reviewers help turn intelligence ai trainer evaluation outputs into auditable labels, rationales, and regression cases for Aura One Human Data. Review frontier model outputs. Judge benchmark failures and calibrate other evaluators.

## Responsibilities

- Evaluate intelligence ai trainer evaluation model outputs against a versioned rubric and assign severity tags for Intelligence Expert (Bachelor's, Master's and PhDs) - AI Trainer assignments.
- Compare paired responses and pick the stronger answer with a written rationale.
- Label hallucinations, instruction-following failures, and unsafe content with structured tags.
- Capture ambiguous prompts and route them back to the program team for rubric updates.

## Role details

Track: Evaluation & annotation | Work model: Remote | Independent specialist contractor | Compensation: $200/hr | Eligible from: US

## What you should bring

- Prior evaluation, annotation, or human-rater experience on intelligence ai trainer evaluation or adjacent content for Intelligence Expert (Bachelor's, Master's and PhDs) - AI Trainer work.
- Comfort applying multi-page rubrics consistently across long batches.
- Clear written reasoning that names the issue and the rubric clause being applied.
- Strong attention to detail and the ability to flag when a prompt itself is the problem.
- Reliable async availability for at least 10 hours per week.

## Example tasks

- Compare two intelligence ai trainer evaluation model responses to the same prompt and pick the stronger one with rationale.
- Tag an unsafe response with the correct policy category and severity.
- Audit a 50-row batch for rubric consistency and report drift to the program lead.
- Propose a rubric clarification after spotting a recurring failure mode.

## Useful experience

- Background in linguistics, content moderation, or trust & safety review.
- Experience with inter-rater agreement metrics and calibration cycles.
- Domain expertise that lets you spot subject-matter errors automated checks miss.

## Compensation and schedule

$200 / hr Expected arrangement: contractor , with program-defined task volume and review pacing. Placement depends on current program demand and reviewer confirmation.

## Skills used in matching

- Model output evaluation
- Rubric-based annotation
- Severity tagging
- Inter-rater calibration
- Intelligence AI Trainer evaluation
- AI model evaluation

## Application boundary

Creating a specialist profile records your experience and preferences. Starting role intake is a separate action that attaches this role to your candidate record.

## Specialist intake

- 01 Confirm profile and eligibility details.
- 02 Attach this role deliberately.
- 03 Receive a human review decision or follow-up.

Placement timing depends on program demand and reviewer confirmation.

## About the Institute of Foundation Models

We are a dedicated research lab for building, understanding, using, and risk-managing foundation models. Our mandate is to advance research, nurture the next generation of AI builders, and drive transformative contributions to a knowledge-driven economy.

As part of our team, you’ll have the opportunity to work on the core of cutting-edge foundation model training, alongside world-class researchers, data scientists, and engineers, tackling the most fundamental and impactful challenges in AI development. You will participate in the development of groundbreaking AI solutions that have the potential to reshape entire industries. Strategic and innovative problem-solving skills will be instrumental in establishing MBZUAI as a global hub for high-performance computing in deep learning, driving impactful discoveries that inspire the next generation of AI pioneers.

## The Role

As a Research Scientist with a focus on data-centric large language model (LLM) development, your role will center on advancing the frontiers of how LLMs reason, retrieve, and interact with external information sources. You will proactively identify, collect, and organize datasets that enable LLMs to perform complex reasoning tasks, while also developing scalable systems and tooling that integrate cutting-edge research with robust engineering. Your work will have a direct impact on the performance and reliability of intelligent systems at MBZUAI IFM.

## Key Responsibilities

- Lead research and implementation of reasoning-enhanced LLM capabilities through novel data collection, architecture design, and system integration.
- Design and implement pipelines to collect, curate, and structure open-source and web-scale data relevant to reasoning tasks, ensuring scalability and reproducibility.
- Build robust software to support fine-tuning, evaluation, and deployment of LLMs that interact with structured and unstructured knowledge bases.
- Collaborate with ML researchers to create, test, and evaluate new approaches in information retrieval, agentic search, and RAG (retrieval-augmented generation) pipelines.
- Rapidly prototype tools, APIs, and infrastructure for enabling LLMs to reason over external information, and build datasets for identifying and analyzing LLM failure modes.
- Communicate research findings in internal documents and external publications (e.g., top-tier conferences like ACL, ICLR, NeurIPS).
- Contribute to design/code reviews and foster engineering best practices in a high-performance research environment.
- Represent MBZUAI at conferences and forums, promoting institutional leadership in safe, efficient, and high-impact AI systems.
- Perform all other duties as reasonably directed by the line manager that are commensurate with these functional objectives.

## Academic Qualifications

- Master’s in Computer Science, Data Science, or a related technical field, or equivalent practical experience required.
- PhD or equivalent research experience in Machine Learning, NLP, or Data Science with a focus on reasoning and LLMs preferred.

## Minimum Professional Experience

- Experience working with large language models, including fine-tuning, prompt engineering, and multi-modal interaction.
- Strong Python development skills with a focus on research-grade code and scalable data pipelines.
- Familiarity with collecting and processing large-scale datasets from open-source and web resources.
- Demonstrated ability to work with ML infrastructure (e.g., model evaluation, optimization, debugging).
- Proactive mindset with the ability to identify impactful research questions and execute on them with minimal supervision.
- Effective communication and collaboration skills for working in cross-functional teams.

## Preferred Professional Experience

- Experience designing and deploying agentic LLM systems, reasoning benchmarks, or RAG pipelines.
- Background in building complex knowledge retrieval systems (e.g., knowledge graphs, semantic search, indexing).
- Strong publication record in leading AI conferences (e.g., ICLR, ACL, NeurIPS, EMNLP).
- Familiarity with performance constraints in production environments and the trade-offs in model and data design.
- Prior contributions to open-source ML research or data tools. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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.

Our mission at Oura is to empower every person to own their inner potential. Our award-winning products help our global community gain a deeper knowledge of their readiness, activity, and sleep quality by using their Oura Ring and its connected app. We've helped millions of people understand and improve their health by providing daily insights and practical steps to inspire healthy lifestyles.

Empowering the world starts with living our values and empowering our team. As a quickly growing company focused on helping people live healthier and happier lives, we ensure that our team members have what they need to do their best work — both in and out of the office.

At Ōura, we're on a mission to make health a daily practice for everyone. With our award-winning Ōura Ring and app, we've empowered over a million people to improve their sleep, understand their bodies, and transform their health. Now, we're looking for a distinguished AI leader to turn scattered experimentation into safe, scalable, everyday practice across the entire company.We are seeking a Staff AI Data Transformation Architect to lead as the senior-most individual contributor driving Data AI enablement across our Data team at Ōura, reporting to VP, Data Engineering and Analytics. This is a highly visible, org-defining role that combines two things usually split across separate jobs: the strategic work of building a company-wide AI roadmap and operating model, and the hands-on work of running the operational backbone — access, governance, licensing — that makes that practice safe and scalable.There are no direct reports in this role: strategy, influence, credibility, and hands-on execution are your primary tools. This role is distinguished from Senior by its company-wide scope of influence, the level of ambiguity it resolves, and the expectation that you define the problem as much as solve it.

## What You Will Do

- Define and own the Data AI enablement roadmap across data, product, engineering, science and business functions, prioritizing the transformation opportunities with the highest leverage.
- Build the operating model for repeatable adoption: playbooks, shared tooling, evaluation frameworks, and success metrics that turn isolated pilots into standard practice.
- Establish a shared language and evaluation framework that leaders across the company use to assess AI opportunities consistently.
- Drive build-vs-buy decisions for AI tooling, influencing vendor strategy and technology investment at a company-wide level.
- Own the AI tool estate end-to-end: integration of data and access models within the Databricks platform, multi-agent workflows, token management, and partner with AI Productivity to power the AI ecosystem with a trusted data layer.
- Hold the governance line: partner with AI Governance, Security, Privacy, and Legal to define guardrails for responsible AI use in a health-sensitive environment, with auditable change management.
- Keep AI spend efficient: own observability, productivity best practices and reclamation cycles, and the usage insights that inform renewal, expansion, and build/buy decisions.
- Architect Ōura's Data AI strategy leveraging Databricks and AWS to process terabyte–petabyte scale data with global consistency.
- Lead the design of machine-readable contracts, vector-based data architectures and Retrieval Augmented Generation (RAG) patterns to enable LLM-powered reporting and Agentic AI at production scale, including an enterprise context plane: ontology, semantic layer, knowledge graph, and context layer.
- Partner closely with data analysts and engineers to assess, prioritize, and remediate data readiness (quality, structure, access, documentation) against the AI roadmap's use cases.
- Partner with leadership to drive workflow redesign, working directly with functional leaders to change how their teams operate — not just what tools they have access to.
- Build internal AI fluency through reusable training, a strong practitioner community, and self-service documentation that let teams and other admins operate independently.
- Scale a small number of high-value pilots into standard, company-wide practice rather than leaving them as isolated experiments.
- Act as the primary bridge between executive intent, functional leaders, and enabling functions (Security, Legal, IT, Software).
- Drive alignment across AI productivity, engineering and business units, establishing trust early and earning a seat at the table through credibility.
- Set the operating standard that functional AI Champions and any dedicated AI-tool administrators run to, without owning their day-to-day work directly.
- Represent Data AI enablement in cross-company forums, making adoption and impact metrics visible and discussed at the leadership level.

This is a hybrid role out of our San Francisco office.

## What You'll Bring

- 8+ years of experience scaling AI data solutions, products or technology adoption beyond pilots into sustained, organization-wide practice, with measurable outcomes.
- A track record of building durable operating models, SOPs, and measurement systems that outlast any one project.
- History of influencing and aligning senior leadership on long-horizon technology investments.
- Deep technical fluency in LLMs and implementation patterns, with sound judgment for separating real value from hype.
- Direct, hands-on experience administering at least one enterprise AI productivity tool (e.g., Cursor, Claude, ChatGPT Enterprise, Glean, Gemini, coding assistants, LLM API gateways), including user/group management and configuration troubleshooting.
- Demonstrated AI fluency: uses LLM assistants and agents in daily work with sound judgment and verification.
- Clear point of view on when to build vs. buy, grounded in real experience rather than generic opinion.
- Experience in enterprise data platforms including lakehouse using AI/LLMs.
- Practical experience with role-based access models and permissions in multi-domain/region zones.
- Comfort partnering with Security, Privacy, and Legal to define and operationalize guardrails for responsible AI use in a regulated or health-sensitive environment.
- Ability to influence senior stakeholders and drive alignment across R&D and business units without formal authority.
- Proven ability to design, document, and maintain SOPs, playbooks, and training that non-technical users and other admins can follow independently.
- Strong written and verbal communication skills, able to flex between a hands-on troubleshooting conversation and an executive steering committee.

## Nice To Have

- Databricks Certified Administrator or Databricks Certified Data Engineer certification.
- Familiarity with data mesh principles and domain-oriented data ownership models.
- Experience supporting ML workflows — MLflow, Feature Store, or Databricks Model Serving.
- Knowledge of dbt for data transformation and analytics engineering workflows.
- Cloud/AI token FinOps experience — cost allocation tagging, budget alerting, and multi-tier storage optimization.
- Exposure to Databricks Lakehouse Federation or cross-platform query federation patterns.
- Prior experience as an AI Champion or similar transformation role in another function or company.
- Familiarity with scripting or configuration automation (e.g., Python, shell, configuration-as-code) to reduce manual admin work.
- Experience in health tech, consumer health, wearables, or another regulated, high-trust industry.
- Deep expertise designing data architectures for LLM, RAG, and vector-based use cases in production environments.
- Experience with MLOps frameworks, VertexAI, MLflow, and production AI/ML lifecycle management.
- Ability to define data requirements for Agentic AI and interactive self-serve analytical systems.

## Benefits

At Ōura, we care about you and your well-being. Everyone here at Ōura has a ring of their own and we are continually looking to improve employee health.

## What We Offer

- Competitive salary and equity packages
- Health, dental, vision insurance, and mental health resources
- An Ōura Ring of your own plus employee discounts for friends & family
- 20 days of paid time off plus 13 paid holidays plus 8 days of flexible wellness time off
- Paid sick leave and parental leave

Ōura takes a market-based approach to pay, which may vary depending on your location. US locations are categorized into tiers based on a cost of labor index for that geographic area. While most offers will be closer to the starting range, successful candidates' pay will be determined based on job-related skills, experience, qualifications, work location, internal peer equity, and market conditions. These ranges may be modified in the future.

Region 1 $198,050 - $233,000

Region 2 $180,200 - $212,000

Region 3 $169,150 - $199,000

A recruiter can determine your Region based on your US location.

We are not considering candidates residing in the following states: Alaska (AK), Delaware (DE), Iowa (IA), Mississippi (MS), Nebraska (NE), South Dakota (SD), West Virginia (WV), and Wisconsin (WI).

Oura is proud to be an equal opportunity workplace. We celebrate diversity and are committed to creating an inclusive environment for all employees. Individuals seeking employment at Oura are considered without regard to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. We will not tolerate discrimination or harassment based on any of these characteristics.

We will work to ensure individuals with disabilities are provided reasonable accommodation to participate in the interview process, to perform essential job functions, and to receive other benefits and privileges of employment.

## Disclaimer: Beware of fake job offers!

We’ve been alerted to scammers posing as ŌURA recruiters, especially for remote roles. Please note:

- Our jobs are listed only on the ŌURA Careers page and trusted job boards.
- We will never ask for personal information like ID or payment for equipment upfront.
- Official offers are sent through Docusign after a verbal offer, not via text or email.

Stay cautious and protect your personal details.

To all recruitment agencies: Oura does not accept agency resumes. Please do not forward resumes to our jobs alias, Oura employees, or any other organization's location. Oura is not responsible for any fees related to unsolicited resumes.

Job Title: Cashier / Front Desk Officer Department: Administration / Front Office Reports To: Operations Manager / Administrative Manager Employment Type: Full-Time

## Job Summary

The Cashier / Front Desk Officer is responsible for providing excellent customer service, managing front-desk activities, receiving and processing payments, issuing receipts, maintaining accurate financial records, and ensuring smooth daily operations at the reception area. The role requires professionalism, accuracy, good communication skills, confidentiality, and the ability to interact effectively with customers, clients, patients, visitors, and staff.

## Front Desk & Customer Service

- Welcome and attend to customers, clients, patients, and visitors professionally.
- Receive and direct visitors to the appropriate department or staff member.
- Answer, screen, and transfer telephone calls appropriately.
- Respond to enquiries and provide accurate information about available services.
- Manage appointments, bookings, or customer requests where applicable.
- Maintain a clean, organized, and welcoming reception area.
- Handle customer complaints and escalate complex issues to the appropriate supervisor.

## Cashier & Payment Management

- Receive cash, POS, bank transfer, and other approved payments.
- Accurately record all transactions in the approved system or cashbook.
- Issue receipts and payment confirmations to customers.
- Verify payments and ensure that all transactions are properly documented.
- Maintain accurate daily cash records.
- Balance the cash drawer at the end of each shift.
- Report any cash shortages, overages, discrepancies, or suspicious transactions immediately.
- Prepare and submit daily cashier reports as required.
- Ensure that company funds are handled securely and responsibly.

## Administrative Duties

- Maintain accurate customer and transaction records.
- File and organize relevant documents and receipts.
- Assist with preparing daily, weekly, and monthly reports.
- Monitor office supplies and notify management when replenishment is required.
- Support other administrative activities assigned by management.
- Maintain confidentiality of customer, financial, and company information.

## Required Qualifications

- Minimum of OND/NCE in Accounting, Business Administration, Finance, Office Administration, or a related field.
- Previous experience as a cashier, receptionist, front desk officer, customer service officer, or similar role is an advantage.
- Basic knowledge of accounting and cash-handling procedures.
- Computer literacy and ability to use Microsoft Office or relevant business software.
- Experience with POS terminals and payment platforms is an advantage.

## Required Skills

- Excellent customer service and interpersonal skills.
- Strong communication and listening skills.
- Good numerical and basic accounting skills.
- High level of accuracy and attention to detail.
- Honesty, integrity, and accountability.
- Ability to work under pressure and handle multiple tasks.
- Good organizational and time-management skills.
- Professional appearance and attitude.
- Ability to maintain confidentiality.
- Ability to work effectively as part of a team.

## Key Performance Indicators (KPIs)

- Accuracy of cash and payment records.
- Zero or minimal unexplained cash discrepancies.
- Accuracy and completeness of daily reports.
- Customer service quality and responsiveness.
- Proper handling and documentation of payments.
- Timely reconciliation and submission of reports.
- Professionalism and punctuality.
- Compliance with company policies and procedures.

## Working Conditions

The successful candidate will work primarily at the front desk/reception area and may be required to interact continuously with customers, visitors, staff, and management. The position may require working weekends, public holidays, shifts, or extended hours depending on operational requirements.

## Personal Attributes

The ideal candidate should be:

- Trustworthy and financially responsible.
- Courteous and approachable.
- Well-organized and disciplined.
- Patient and customer-focused.
- Proactive and willing to learn.
- Professional in appearance and conduct.
- Reliable and punctual.

## Reporting & Accountability

The Cashier / Front Desk Officer is directly accountable to the Operations/Administrative Manager and is responsible for ensuring that all front-desk and cash-handling activities are carried out accurately, professionally, and in accordance with company policies.

Note: Management reserves the right to assign additional reasonable duties related to the position as operational needs require.

Job Type: Full-time

Pay: ₦80,000.00 - ₦120,000.00 per month

## Ability to commute/relocate

- Abuja: Reliably commute or planning to relocate before starting work (Required)

Work Location: In person

Department: AI Hub Innovations

## Job Purpose

Lead the adoption and continuous improvement of Engage Studio's GenAI Creative capability within Marketing by combining hands-on creative design expertise with creative delivery, quality assurance, and user enablement. The role connects Marketing requirements with the Engage Studio roadmap, translates creative needs into prioritized product inputs, validates creative quality, and enables scalable, brand-compliant campaign production for Personal Banking.

## Key Accountabilities

- Operate in line with FAB policies, governance requirements, risk controls, and applicable regulatory obligations
- Maintain high standards of quality, confidentiality, information security, and responsible use of GenAI capabilities.
- Collaborate effectively with Marketing, Brand, AI Hub, technology, agencies, and relevant control functions.
- Support continuous improvement by documenting feedback, sharing knowledge, and contributing to consistent delivery practices.

## Design & Creative Production

- Create and assess campaign assets, digital layouts, channel creative, banners, templates, and visual variants using strong hands-on graphic design expertise.
- Develop and adapt Marketing campaign visuals across key channels and formats.
- Use Engage Studio's GenAI Creative capability to generate, refine, and assess creative concepts and layout options.
- Ensure outputs meet FAB brand guidelines, campaign requirements, accessibility standards, quality expectations, and approval criteria.

## Product, Roadmap & GenAI Creative Support

- Share practical Marketing and creative feedback to improve Engage Studio's usability, design controls, templates, brand governance, and creative workflow.
- Translate Marketing, Brand, and agency needs into clear product feedback, test scenarios, and prioritization inputs.
- Recommend practical improvements that reduce manual Marketing effort, including prompt libraries, brand-approved templates, channel variants, automatic resizing, and reuse of approved assets.
- Assess emerging GenAI capabilities, determine their relevance for FAB Marketing, and recommend controlled adoption where appropriate.

## Campaign Delivery & Quality Assurance

- Develop creative assets for pilots and live campaigns across relevant Marketing channels.
- Review assets before business sign-off to confirm visual quality, layout, formatting, image use, accessibility, brand consistency, and campaign requirements.
- Guide Marketing users on using Engage Studio for asset adaptation and campaign creative production.

## Enablement & Stakeholder Collaboration

- Provide practical guidance, demonstrations, and reusable materials that help Marketing teams adopt Engage Studio effectively.
- Work with Marketing, Brand, agencies, product owners, and AI Hub stakeholders to resolve creative delivery issues and improve adoption.
- Capture user feedback, recurring pain points, and delivery learnings to support backlog prioritization and continuous improvement.
- Works within FAB brand guidelines, campaign approval requirements, accessibility standards, AI governance, information security requirements, and relevant Marketing controls.
- Exercises creative judgment when developing and assessing assets, while escalating material brand, legal, compliance, data, or reputational concerns to the appropriate stakeholders.
- Recommends product backlog priorities and controlled adoption opportunities; final roadmap, campaign, and governance approvals remain with the designated accountable owners.
- May reject or return creative outputs that do not meet agreed quality, brand, accessibility, or campaign acceptance criteria.

## Qualification

- Bachelor degree in Graphic Design, Visual Communication, Digital Media, Marketing, or a related discipline; equivalent professional experience may be considered.
- Relevant professional certifications in design, digital marketing, accessibility, UX/UI, or GenAI-enabled creative tools are advantageous.

## Experience

- Strong hands-on experience in graphic design and multi-channel campaign asset production within a brand-led environment.
- Experience translating business and creative requirements into templates, workflows, test scenarios, or product improvement inputs.
- Practical experience using GenAI-enabled creative tools to generate, refine, and review visual concepts and layout options.
- Experience applying brand standards, accessibility requirements, quality assurance, and approval controls to creative outputs.
- Demonstrated ability to collaborate with Marketing, Brand, agencies, product teams, technology teams, and governance stakeholders.
- Banking, financial services, or another regulated industry experience is advantageous.

## Knowledge & Skills

- Advanced graphic design, visual composition, typography, layout, image selection, and adaptation across formats and channels.
- Working knowledge of prompt design, template creation, creative automation, asset reuse, and GenAI output evaluation.
- Strong stakeholder management, communication, facilitation, problem-solving, and prioritization skills.
- Ability to balance creative quality, speed, scalability, brand compliance, accessibility, and responsible AI considerations.