deloitte.com

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Job description

Overview

ReFocus AI is looking for a Lead Machine Learning Engineer to join our fast-paced team and help drive ReFocus adoption in North America. In this position, you will have the opportunity to be part of a sales enablement AI platform for our customers in the insurance and sales enablement industries. You will work closely with your colleagues to build and deploy advanced machine-learning mod...els for sales teams of all sizes, from independent insurance agencies to multinational insurance entities.

We are seeking a hands-on Lead AI Engineer to architect, build, and scale modern AI systems powered by LLMs, agentic workflows, and real-world data pipelines. This role goes beyond traditional machine learning—you will define how AI is embedded into core product experiences and drive execution from prototype to production.

You will work closely with leadership to shape our AI strategy and deliver high-impact, customer-facing capabilities.

Responsibilities

● Design and implement LLM-powered workflows for use cases such as retention insights, communication generation, policy analysis, and quote comparison

● Architect and build agentic systems to automate multi-step workflows, including data extraction, enrichment, and carrier quoting

● Develop and optimize retrieval-augmented generation (RAG) pipelines, including embedding strategies, chunking, and reranking

● Own the end-to-end AI system lifecycle, from prototyping to production deployment and iteration

● Build and maintain LLMOps infrastructure, including prompt/version management, observability, evaluation, and monitoring

● Implement evaluation frameworks (offline and online) to measure accuracy, reliability, and business impact

● Design scalable data pipelines and integrations across AMS platforms, carrier systems, and external data sources

● Optimize AI systems for latency, cost, and reliability, including multi-model routing strategies

● Collaborate closely with product, engineering, and business teams to align AI capabilities with customer needs

● Mentor engineers and provide technical leadership across AI and backend systems

● Stay current with advancements in LLMs, agent frameworks, and applied AI systems

Required Qualifications

● 7–10+ years of experience in software engineering, machine learning, or AI

● 2+ years of hands-on experience working with LLMs / Generative AI in production environments

● Proven track record of building and deploying end-to-end AI systems, not just models

● Strong experience with modern LLM platforms (e.g., OpenAI, Claude, or open-source models)

● Deep understanding of:

○ Prompt engineering and structured outputs

○ Function calling / tool usage

○ Model tradeoffs (latency, cost, quality)

● Hands-on experience with RAG systems, including vector databases and retrieval optimization

● Experience building or working with agent frameworks and orchestration patterns

● Strong backend engineering skills (APIs, distributed systems, async workflows)

● Proficiency in Python (required)

● Experience with cloud platforms, preferably AWS

● Experience with LLM observability, evaluation, and debugging

● Strong fundamentals in system design, data structures, and scalable architecture

● Experience operating in an AI-augmented development workflow, leveraging tools such as Cursor, GitHub Copilot, or similar to accelerate development, debugging, and iteration speed

● Strong ability to leverage LLMs throughout the software development lifecycle, including code generation, refactoring, debugging, and rapid prototyping

Preferred Qualifications

● Experience building AI copilots or workflow automation agents

● Experience with browser automation or computer-use agents

● Familiarity with frameworks such as LangChain, LlamaIndex, or similar tools

● Experience with multi-model routing and optimization strategies

● Familiarity with Node.js / TypeScript ecosystems (e.g., Next.js, NestJS)

● Experience working on customer-facing AI products in production

● Domain experience in insurance, fintech, or structured data systems

● Demonstrated ability to mentor engineers and lead technical initiatives

Education

● Possess a BS or MS in Computer Science, Machine Learning, or a related field.

Why Join Us?

● Be part of an innovative team shaping the future of AI/ML in insurance and sales enablement.

● Work on impactful projects utilizing state-of-the-art ML/LLM/GenAI technologies.

● Collaborate with a diverse team dedicated to excellence and customer success.

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Job description

• Job Title:

Healthcare Professional – Remote AI

• Location

: Remote (US & Canada)

• Compensation: $150 per hour

, based on subspecialty, qualifications, and location.

About the Role

One of our clients is hiring Cardiologists to evaluate and refine the next generation of clinical AI systems. As an independent contractor, you will design complex cardiac cases, review AI-generated medical reports, ...and help set the standards for diagnostic reasoning and clinical soundness in frontier models. This is fully remote, fully asynchronous, and flexible — you choose your hours and your project load.

What You Will Do

• Rank, refine, and improve model outputs across evolving projects.

• Design complex clinical scenarios that test advanced diagnostic reasoning.

• Identify subtle issues in medical logic, diagnostic flow, and report structure.

• Review and critique AI-generated cardiology reports for clinical accuracy and scientific rigour.

Required Qualifications

• MD, DO, MBBS, or equivalent

• Specialisation in Cardiology

• Clinical experience in a healthcare setting (active or recent practice)

• Experience interpreting and reporting on cardiac diagnostic imaging, including MRI and CT

• Strong written English and structured analytical thinking

Welcome to Apply

• Attendings, fellows, and residents with a cardiology focus

• Clinicians with experience in peer review, report editing, or clinical QA

• Anyone with an interest in AI, medical evaluation, or clinical research

Equal Opportunity

We evaluate every applicant on professional expertise, clinical background, and communication. Reasonable accommodations are available on request. We do not discriminate on the basis of any characteristic protected by law.

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Job description

Job description

About the Role:

At TELUS Digital, we are on a mission to make AI speak every language with the heart and nuance of a native speaker. As a Computational Linguist in our global pool, you are a linguistic architect helping us bridge the gap between human communication and machine logic. We look to you to analyze the deep structures of your native language, including syntax, semantic...s, and morphology, ensuring our AI models capture the true essence of human expression. At TELUS, your work directly influences how the world’s leading LLMs respect cultural identity through language.

Key Responsibilities:

Perform deep-dive linguistic audits on AI outputs to ensure grammatical precision and semantic accuracy.

Design and refine complex linguistic guidelines to help models master regional dialects, slang, and cultural idioms.

Collaborate on Supervised Fine-Tuning (SFT) projects by creating high-quality datasets that reflect the structural complexities of your native tongue.

Analyze how AI handles specialized writing systems (e.g., RTL) and provide architectural feedback to engineering teams to improve model rendering and comprehension.

Qualification path

Mandatory Qualifications:

Education: Minimum of a Bachelor’s Degree in Linguistics, Computational Linguistics, Computer Science, or a related field.

Language: Native-level fluency in at least one language.

English Proficiency: Minimum B1 (Intermediate) level English for technical guidelines.

Assessment:

In order to be hired into our community, you’ll go through a subject-specific qualification exam that will determine your suitability for the position and complete ID verification.

Payment:

Currently, pay rates for experts range from $18 - $50 USD per hour

Our Payment terms are defined for each project.

Why Join the TELUS Digital AI Community:

Community Connection: Work remotely as part of a 1M+ diverse global AI Community of contributors and experts.

Impactful Expertise: Use your native language and academic degree to shape real-world AI systems and products used by millions every day.

Hands-on Innovation: Gain experience in the latest AI research, evaluation, and fine-tuning methodologies.

Global Collaboration: Collaborate with a network of specialists across 20+ domains and 500+ languages and dialects.

Flexible Engagement: Manage your own schedule while making a meaningful impact on the future of technology.

Equal Opportunity:

All qualified applicants will receive consideration for a contractual relationship without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. At TELUS Digital AI, we are proud to offer equal opportunities and are committed to creating a diverse and inclusive community. All aspects of selection are based on applicants’ qualifications, merits, competence, and performance without regard to any characteristic related to diversity

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Job description

Location: Shanghai / New York / Hong Kong / Singapore

Compensation: High base + direct P&L linkage + real ownership

On behalf of a top-tier quantitative hedge fund we are seeking a head of Artificial Intelligence.

Important points to note:

• This role will preferably be based in Shanghai (full relocation package available). However, we can consider the other listed locations if necessary.

• Can...didates must speak fluent Mandarin.

• The compensation package will match international norms for the industry.

• You must have direct AI/ML experience at top-tier prop trading firms and/or quantitative hedge fund(s).

Role:

Build from 0 → 1.

No fixed pipeline. No legacy constraints. You define:

• The AI stack

• Research workflow

• How models go live

End-to-End Ownership with Real P&L Impact:

• Take ideas from research → production → live trading.

• Be directly accountable for whether it makes money.

Work on Problems Where AI Actually Matters:

Focus on areas where ML can move the needle:

• Market microstructure

• Cross-asset signals

• Execution-aware modeling

Build a Small, High-Signal Team

Real Compute to Move Fast

• Access to ~1,000+ GPUs per researcher

• Designed for large-scale training and fast iteration.

• No need to fight for shared resources.

Requirements:

• 5+ years of experience in quantitative trading, preferably in HFT / MFT environments

• Direct AI/ML experience at top-tier prop trading firm(s).

• Fluent in Mandarin

• Master’s degree in computer science, Mathematics, Physics, or other relevant disciplines. This will very likely be from a top-tier university.

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Job description

Job Title: Head of AI Research

Company: LabsorTech Qatar

Location: Qatar Science & Technology Park, Doha, Qatar

Salary: QAR 54,000 per month

Job Overview

LabsorTech Qatar is seeking a forward-thinking and highly skilled Head of AI Research to lead advanced research initiatives in artificial intelligence. This role is ideal for a senior professional with deep expertise in AI, machine learning, a...nd research leadership.

The Head of AI Research will be responsible for driving innovation, leading research teams, and developing cutting-edge AI solutions aligned with organizational goals.

Key Responsibilities

• Lead and manage AI research programs and initiatives.

• Develop and implement AI strategies aligned with business objectives.

• Oversee research in machine learning, data science, and advanced analytics.

• Guide the development of innovative AI models and solutions.

• Collaborate with cross-functional teams to apply research outcomes.

• Publish findings, contribute to thought leadership, and represent the organization.

• Manage research budgets, resources, and timelines.

• Stay updated on emerging AI technologies and trends.

• Mentor and develop research teams.

Qualifications

• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or related field (PhD preferred).

• Proven experience in AI research, machine learning, or advanced analytics.

• Strong knowledge of algorithms, data modeling, and AI frameworks.

• Experience leading research teams and complex projects.

• Excellent analytical, leadership, and communication skills.

• Strong publication or research background is highly desirable.

What We Offer

• Competitive salary of QAR 54,000 per month

• Opportunity to lead cutting-edge AI research initiatives

• Collaborative and innovation-driven environment

• Professional and academic growth opportunities

LabsorTech Qatar is an equal opportunity employer.

نوع الوظيفة: دوام كامل

الراتب المدفوع: QAR٥٤٬٠٠٠٫٠٠ لكل شهر

موقع العمل: بشكل شخصي

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vodafone.com

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Job description

As Data & AI Analyst, you will collaborate with our team of experts to analyze and interpret complex data sets, using cutting-edge AI algorithms and techniques. You will have the chance to work on a variety of projects, ranging from developing machine learning models to enhance our products, to implementing AI solutions for our clients. This is an exciting opportunity for someone who is eager to m...ake an impact in the AI industry and contribute to the development of groundbreaking technologies.

Responsibilities:

Assist in the design, development, and implementation of AI algorithms and models.

Conduct research and analysis to identify trends and patterns in large data sets.

Collaborate with cross-functional teams to gather requirements and define project objectives.

Evaluate and validate AI models, ensuring their accuracy and reliability.

Provide insights and recommendations based on data analysis.

Stay up-to-date with the latest AI techniques and technologies through continuous learning and professional development.

Support the deployment and integration of AI solutions into existing systems.

Requirements:

A bachelor's degree in Computer Science, Engineering, or a related field.

Strong knowledge of AI concepts, algorithms, and techniques.

Hands-on experience with programming languages such as Python or Java.

Familiarity with machine learning frameworks such as TensorFlow or PyTorch.

Proficient in data analysis and visualization tools, such as MATLAB or Tableau.

Excellent problem-solving and analytical skills.

Strong communication and collaboration abilities.

Attention to detail and the ability to work on multiple projects simultaneously.

Experience working in a research or academic environment is a plus.

Knowledge of natural language processing or computer vision is a plus.

Requirements:

A bachelor's degree in Computer Science, Engineering, or a related field.

Strong knowledge of AI concepts, algorithms, and techniques.

Hands-on experience with programming languages such as Python or Java.

Familiarity with machine learning frameworks such as TensorFlow or PyTorch.

Proficient in data analysis and visualization tools, such as MATLAB or Tableau.

Excellent problem-solving and analytical skills.

Strong communication and collaboration abilities.

Attention to detail and the ability to work on multiple projects simultaneously.

Experience working in a research or academic environment is a plus.

Knowledge of natural language processing or computer vision is a plus.

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Job description

Location: Fully remote (EMEA timezone)Start date: ASAPLanguages: Fluent English requiredIndustry: Cloud Computing / AI / European Deep-Tech SaaSAbout The RolePragmatike is recruiting on behalf of a fast-scaling, well-funded distributed cloud infrastruc...

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amd.com

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Qualifications

• Strong background in machine learning research (RL, representation learning, or related areas)

• Experience pre-training or post-training LLMs

• Track record of applying ML to real-world or complex domains

• Strong programming skills (PyTorch, JAX, or similar)

• Ability to work across research and applied systems

• Small, high-calibre team across AI and science

• 3 more items(s)

Benefits

• Package

• 💰 $200K–$400K base + stock

Responsibilities

• It’s pushing them to plan, explore, and iterate across complex domains — reliably, and at scale

• You’ll join a team working at the edge of this shift, developing models that move beyond instruction following into structured, multi-step scientific reasoning

• Your work will be deployed into real systems used by scientists, where model behaviour directly impacts what the platform can discover

• You’ll work closely with engineers and domain experts across biology and chemistry, translating open-ended problems into systems that can be trained, evaluated, and improved in production

• Developing models that can reason across long-horizon scientific problems

• Designing post-training methods to improve multi-step decision making

• Working on sampling, exploration, and evaluation in complex environments

• Building systems that move from research ideas into production workflows

• Collaborating with scientists to define problems and validate outputs

• Work on systems that aim to automate scientific discovery

• Direct impact on real-world research and outcomes

• 8 more items(s)

More job highlights

Job description

What if AI systems could run full research loops — not just generate outputs, but form hypotheses, design experiments, and produce new scientific insight?

This team is building autonomous AI scientists that do exactly that. Their systems ingest large bodies of scientific literature, reason across them, and generate traceable outputs already used by teams in life sciences.

The problem is no longe...r getting models to produce plausible answers. It’s pushing them to plan, explore, and iterate across complex domains — reliably, and at scale.

You’ll join a team working at the edge of this shift, developing models that move beyond instruction following into structured, multi-step scientific reasoning.

This is not research in isolation. Your work will be deployed into real systems used by scientists, where model behaviour directly impacts what the platform can discover.

You’ll work closely with engineers and domain experts across biology and chemistry, translating open-ended problems into systems that can be trained, evaluated, and improved in production.

The company originated from one of the earliest groups working seriously on AI for science, including early language agents and AI-generated discoveries They’re now pushing further with systems capable of long-horizon reasoning across huge amounts of data.

They’ve primarily focused on post-training and reasoning so far, and are now moving into pre-training their own models to support this end-to-end.

What you’ll work on

• Developing models that can reason across long-horizon scientific problems

• Designing post-training methods to improve multi-step decision making

• Working on sampling, exploration, and evaluation in complex environments

• Building systems that move from research ideas into production workflows

• Collaborating with scientists to define problems and validate outputs

What they’re looking for

• Strong background in machine learning research (RL, representation learning, or related areas)

• Experience pre-training or post-training LLMs

• Track record of applying ML to real-world or complex domains

• Strong programming skills (PyTorch, JAX, or similar)

• Ability to work across research and applied systems

Why this role

• Work on systems that aim to automate scientific discovery

• Direct impact on real-world research and outcomes

• Small, high-calibre team across AI and science

• Real traction, not just prototypes

Package

📍 San Francisco (on-site or hybrid). Other locations considered: NYC, London.

💰 $200K–$400K base + stock

All applicants will receive a response.

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