Tata Technologies
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)
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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)
#J-18808-Ljbffr