Lead AI/ML Engineer- Blackstraw- Chennai

Role Description:

The Lead AI/ML Engineer will play a crucial role in designing, developing, and deploying

cutting-edge AI/ML solutions. This role requires a strong technical background in machine

learning, data science, and software engineering, as well as proven leadership and

communication skills. The ideal candidate will be passionate about pushing the boundaries of AI

and possess a deep understanding of both classical and modern AI/ML techniques, including

generative models and agentic AI.

Key Responsibilities:

• Lead the design, development, and implementation of AI/ML models and solutions.
• Mentor and guide a team of AI/ML engineers, fostering a collaborative and innovative

environment.

• Translate business requirements into technical specifications and tasks.
• Research and evaluate new AI/ML technologies and methodologies, including Large and

Small Language Models and Agentic AI frameworks.

• Implement and optimize AI/ML pipelines on cloud platforms such as Azure and AWS.
• Ensure the quality, performance, and scalability of AI/ML solutions.
• Collaborate with cross-functional teams, including product, engineering, and business

stakeholders.

• Contribute to the development of best practices and standards for AI/ML development.
• Maintain up-to-date knowledge of the latest advancements in AI/ML and related fields.

Qualifications:

• Bachelor's degree in Computer Science or Information Technology with 8+ years of

professional experience in Machine Learning, Software Engineering, and Data Science; or

• Master's degree in Computer Science with at least 6 years of professional experience in

Machine Learning, Software Engineering, and Data Science.

Required Technical Skills:

• Strong expertise in Machine Learning and Data Science with practical implementation

experience.

• Solid understanding of generative models, including Large and Small Language Models.
• Experience implementing Agentic AI using LLM/SLM orchestration.
• Proficiency in classical data science methodologies (statistical, prescriptive, and predictive

analytics).

• Experience in software design and practical understanding of modern AI/ML software

components (data, data warehousing, AI/ML tools, inference, and microservices).

• Practical knowledge of cloud platforms and AI/ML tools like Azure ML and AWS

SageMaker.

Required Non-Technical Skills:

• Experience leading or mentoring AI/ML teams (minimum of 4 members).
• Experience translating business requirements into technical tasks.
• Client-facing experience (preferred).
• Excellent business communication and articulation skills.

Preferred Skills:

• Experience with Agentic AI tools (e.g., LangFlow, LangGraph, LlamaIndex).
• Azure/AWS AI/ML certifications.

Key traits:

• Should have excellent communication skills.
• Should be self motivated and willing to work as part of a team.
• Should be able to collaborate and coordinate in a remote environment.
• Be a problem solver and be proactive to solve the challenges that come his way.