About The Company
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
Experience
Level:
Bachelor s/master s degree in data science, Computer Science, or a related
field from a reputed institute. Candidates with 1.5+ years of work experience
preferred.
Position
Overview:
We
are seeking a Data Scientist/ML Engineer with a strong background in Machine
Learning, Natural Language Processing (NLP), Generative AI, Agentic AI and
Retrieval-Augmented Generation (RAG). 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 and Agentic
AI applications using 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 and proven track record of building Agentic AI/Generative AI
applications.
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/langGraph/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, Langfuse, 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
- SV
- Must have skills: Strong foundation on LLM
& GenAI. Work experience in Agentic AI. Familiarity with Agentic AI
frameworks. Scalable production system design experience.
coding tests.
