HR & Talent Acquisition Lead at Tata Technologies (Hiring Engineering Talent in North America in Automotive domain)
Responsibilities:
- Developing innovative solutions that advance AI/ML systems for mobility services
- Conducting applied research in Agentic AI, including agent design, orchestration strategies, tool integration, and communication protocols
- Conducting research on AI safety and alignment topics
- Identifying research gaps and proposing novel solutions to enhance performance, reliability, and adaptability of agent-based systems
- Prototyping frameworks and algorithms in Python using tools such as AutoGen, LangChain, or custom orchestration layers
Qualifications:
- Ph.D. in Computer Science, Electrical Engineering, Mechanical Engineering, or a related engineering discipline with a focus on AI / Machine Learning
- Research experience in Generative AI, Agentic AI, and AI Safety and Alignment
- Research experience with Foundational (LLMs, VLMs, and other large-scale AI architectures), including fine-tuning, evaluation, and application to domain-specific tasks
- Proficient programming skills in Python and common libraries (e.g., TensorFlow, Pytorch, etc.)
- Ability to engage in general research activities such as defining problems and issues to be addressed, finding, and using research data, and being able to make recommendations and findings in writing and presentations
Seniority Level
- Entry level
Employment Type
- Full-time
Benefits
- Medical insurance
- Vision insurance
- 401(k)