[893YJYHP] AI Research Engineer – Machine Learning

ZettaMine Labs Pvt. Ltd.; India; À distance; INR 2 066 000 - 3 444 000; Plein temps

Résumé du poste

ZettaMine Labs Pvt. Ltd. is seeking an AI Research Engineer – Machine Learning for a short-term frontier AI project across India. This remote freelancing role requires 7+ years of research engineering in ML or frontier AI, with PhD or Master’s in AI/ML/CS and strong Python.

You will design experiments, train and evaluate models, develop datasets and tooling, and collaborate with research, engineering, product, and operations teams. Immediate start with 40+ hours/week and PST overlap.

Qualifications

• 7+ years of professional experience with significant research engineering in Machine Learning or Frontier AI
• PhD or Master’s degree in AI, Machine Learning, Computer Science, or related field; equivalent research experience may be considered
• Strong foundations in Machine Learning with hands-on experience designing experiments, training models, evaluating models, or developing AI systems
• Research experience in Synthetic/Agentic Data Generation, Reinforcement Learning, Post-Training, Model Understanding, AI Evaluation, Benchmarks, AI Agents
• Strong Python programming skills and experience with modern AI/ML frameworks and tooling
• Strong understanding of experimental rigor, data quality, reproducibility, and evidence-based research
• Ability to independently investigate research questions, build prototypes, run experiments, and analyze results
• Experience providing technical leadership and mentoring

Responsabilités

• Research capabilities, limitations, and training methods of frontier AI systems
• Develop datasets, experiments, prototypes, tooling, and evaluation frameworks
• Explore synthetic data, agentic data generation, RL, post-training, model understanding, benchmarks, and evaluation
• Train, test, and evaluate AI models using modern ML tools
• Analyze experimental results and generate evidence-based technical insights
• Translate research findings into scalable AI products and applications
• Collaborate with Research, Engineering, Product, and Operations teams
• Contribute to technical reports, publications, open-source projects, workshops, or conferences where appropriate

Connaissances

Python programming

Research engineering

Machine Learning

Frontier AI

Experiment design

Mentoring

Team leadership

Data generation

Formation

PhD or MS in AI/ML/CS

Equivalent research experience

Outils

ML frameworks (PyTorch, TensorFlow)

Experiment tracking tools

Description du poste

Freelancing Opportunity :- We are hiring AI Research Engineer – Machine Learning for a short-term Frontier AI Research, Reinforcement Learning & Model Evaluation project across: India

Role: AI Research Engineer – Machine Learning

Experience: 7+ Years

Mode: Remote

Start: Immediate

Mandatory Eligibility Criteria

Technical Qualification:

• 7+ years of professional experience with significant research engineering experience in Machine Learning or Frontier AI
• PhD or Master’s degree in AI, Machine Learning, Computer Science, or a related technical field; equivalent research experience may be considered
• Strong foundations in Machine Learning with hands‑on experience designing experiments, training models, evaluating models, or developing AI systems
• Research experience in one or more areas: Synthetic/Agentic Data Generation | Reinforcement Learning | Post-Training | Model Understanding | AI Evaluation | Benchmarks | AI Agents
• Strong Python programming skills and experience with modern AI/ML frameworks and tooling
• Strong understanding of experimental rigor, data quality, reproducibility, and evidence-based research
• Ability to independently investigate research questions, build prototypes, run experiments, and analyze results
• Experience providing technical leadership and mentoring

Availability:

• Minimum 40 hours/week
• At least 8 hours/day
• Minimum 4 hours overlap with PST business hours

What You’ll Work On:

• Research capabilities, limitations, and training methods of frontier AI systems
• Develop datasets, experiments, prototypes, tooling, and evaluation frameworks
• Explore synthetic data, agentic data generation, RL, post-training, model understanding, benchmarks, and evaluation
• Train, test, and evaluate AI models using modern ML tools
• Analyze experimental results and generate evidence‑based technical insights
• Translate research findings into scalable AI products and applications
• Collaborate with Research, Engineering, Product, and Operations teams
• Contribute to technical reports, publications, open‑source projects, workshops, or conferences where appropriate