AI ML Developer

Greetings from Tata Consultancy Services Recruitment Team!

*Face to Face* Interview For all those AI/ML Developer we are coming bigger with the plan of Face to Face Drive on 8th August,2026 (Saturday) in Kolkata

It is a Face to Face interview planned to attract great Talents in AI/ML Developer. We believe that your skills and expertise are a better match for the skills we are looking for.

Skill: AI/ML Developer (Face to Face)

Years of experience: 6 to 12 Years

Location: TCS Delta Park – Lords Building, Tata Consultancy Services (TCS), Plot C, Block EP & GP, Salt Lake Electronics Complex, Sector V (Bidhannagar), Kolkata, West Bengal –700091, India

Date: 8th August,2026 (Saturday) (Face to Face)

Drive Time: 9 AM to 2 PM

** Ex TCS Employees are not eligible to Apply.

** Candidates From Kolkata or nearby locations are eligible to apply.

JD for AI /ML Engineer

6 to 12 years of experience (2+ years in AI/Gen AI is must).

Locations: Kolkata

Required Skills:

• Degree in computer science, artificial intelligence, or IT.
• Strong knowledge of AI methodologies, including generative models, machine learning (ML), reinforcement learning, and natural language processing (NLP).
• Design, implement, and optimize generative AI architectures and models.
• Build Agentic AI solutions using LLMs, including tool/function calling, Model Context Protocol (MCP), memory, workflows, and orchestration.
• Collaborate with data scientists and analysts to collect, preprocess, and manage large datasets, ensuring data quality and integrity for model training.
• Collaborate with cross-functional teams to integrate AI models into production environments, ensuring seamless deployment and operational efficiency.
• Experience of cloud-based platforms (e.g., AWS, Azure, GCP) to develop and deploy scalable AI solutions, ensuring high availability and performance.
• Strong hands-on experience in end-to-end AI/ML engineering, including data preprocessing, feature engineering, model training, evaluation, and optimization for production use cases.
• Proficiency in programming languages such as Python, .Net or Java, with experience in relevant libraries and frameworks (e.g., TensorFlow, PyTorch, Keras).