Senior Machine Learning Engineer

Tata Consultancy Services; Bengaluru; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

An IT services and consulting firm is seeking a Senior Machine Learning Engineer with 10+ years of experience to design and implement scalable machine learning models and integrate state-of-the-art Generative AI technologies. The role requires excellent communication skills and the ability to work across teams to drive innovation in AI solutions. This is a full-time position based in Bengaluru, India.

Qualifications

• Minimum 10 years of experience in machine learning engineering or a related role.
• Proficiency in Python and deep learning frameworks.
• Strong understanding of MLOps and model monitoring.

Responsibilities

• Collaborate with teams to define hypotheses and gather requirements.
• Design and deploy scalable machine learning models.
• Research GenAI models for business use cases.

Skills

Machine learning engineering

Python

Deep learning frameworks

MLOps

Communication skills

Tools

PyTorch

TensorFlow

Hugging Face Transformers

Job description

Associate - Recruitment & Talent Acquisition at Tata Consultancy Services (TCS)

Senior Machine Learning Engineer

Experience Range: 10 - 16 years

Key Responsibilities

• Collaborate with product managers, stakeholders, and engineering teams to define hypotheses and gather requirements.
• Design, develop, and deploy robust, scalable machine learning models for production applications.
• Research and integrate state-of-the-art GenAI models (e.g. GPT, T5, BERT, diffusion models, GANs) into business use cases.
• Drive innovation in areas such as conversational AI, media synthesis, personalisation, and agentic systems.
• Fine-tune and customise foundation models for specific domains and tasks.
• Implement best practices for GenAI safety, alignment, and ethical deployment.
• Stay current with GenAI research, open-source models, and industry trends.
• Lead ML components from ideation to deployment, collaborating across distributed teams.
• Design frameworks for agent development and cross-agent communication.
• Collaborate with software engineers, data scientists, and product managers to define success metrics.
• Review code, provide feedback, and mentor junior team members.
• Communicate technical concepts and project updates to stakeholders across varying technical backgrounds.

Basic Qualifications

• Minimum 10 years of experience in machine learning engineering or a related role.
• Proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow, Hugging Face Transformers).
• Experience with supervised fine-tuning (SFT), parameter-efficient fine-tuning (PEFT), model evaluation, and data preparation.
• Strong understanding of MLOps, model monitoring, retraining, and guard railing.
• Excellent written and verbal communication skills.
• Ability to work independently and manage project-based goals across time zones.

Preferred Qualifications

• Experience with agentic architectures and multi-agent systems.
• Familiarity with GenAI safety frameworks and ethical deployment strategies.
• Exposure to enterprise-scale ML environments and agile delivery models.

Seniority level: Mid-Senior level

Employment type: Full-time

Job function: Information Technology

Industries: IT Services and IT Consulting