Sr Engineer - AI COE

Tata Communications Redefines Connectivity with Innovation and IntelligenceDriving the next level of intelligence powered by Cloud, Mobility, Internet of Things, Collaboration, Security, Media services and Network services, we at Tata Communications are envisaging a New World of Communications

Team: Artificial Intelligence Centre of Excellence

Role: ML Engineer

Location: Bangalore

Job Type: Permanent

Experience Level: Bachelor’s/Master’s degree in Data Science, Computer Science, or a related field from a reputed institute. Candidates with 1+ years of work experience preferred.

Position overview:

We are seeking a ML Engineer with a strong background in Machine Learning, Natural Language Processing (NLP), Generative AI, and Agentic AI. The ideal candidate will possess 1+ years of hands-on experience in developing and deploying advanced data-driven solutions. You will play a key role in our AI-CoE team, contributing to cutting-edge projects that drive innovation and business value. A special focus area for this role would be to build AI enabled products that would result in the creation of monetizable product differentiators for Tata Communications products and services.

Detailed job description & Key Responsibilities :

Design, develop, and deploy machine learning systems, including Generative AI models and LLMs.

Research and implement state-of-the-art ML algorithms and tools.

Conduct data preprocessing, feature engineering, and statistical analysis.

Train, fine-tune, and optimize machine learning models for performance and accuracy.

Collaborate with cross-functional teams, including data scientists, software engineers, and domain experts.

Extend existing ML frameworks and libraries to meet project requirements.

Stay updated with the latest advancements in machine learning and AI.

Skills:

Working knowledge of machine learning and deep learning skills.

Strong knowledge of programming knowledge – Python, SQL and commonly used frameworks & tools – PyTorch, Sci-kit, NumPy, Gen AI tools like langchain/llamaIndex

Working knowledge of MLOPs principles and implementing projects with Big Data in batch and streaming mode. - must have

Experience in handling databases (SQL and NoSQL)

Exposure to MLFlow, KubeFlow, Git CI/CD

Experience with containerization tools like Docker, and orchestration tools like Kubernetes

Excellent problem-solving skills and a proactive attitude.

Strong communication and teamwork abilities.

Ability to manage multiple projects and meet deadlines