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 Current World of Communications
- Broad outline of the Role

Minimum Qualifications & Experience
- Bachelor s degree in engineering 4-10 Years relevant experience
Core Knowledge & Skills:
- Proficiency in Python programming, Node.js, V S Code,
- Strong hands-on experience with LLMs (Llama, Mistral, Claude, etc.)
- RAG (Retrieval Augmented Generation) design & implementation
- Prompt engineering (design, tuning, evaluation)
- Embeddings & vector databases (FAISS, Pinecone, etc.)
- Function/tool calling APIs for automation
- Experience with LangChain / LlamaIndex
- Experience integrating AI models using LLM function/tool calling APIs for automated decision‑making and actions.
- Strong programming skills in Python node.js or building scalable APIs and services




- Proficiency in Git for source control and collaborative development.
- Strong hands‑on experience with REST and gRPC APIs, including HTTP status codes, Payload structures, Rate limiting, retries, and error handling.
- ML Tooling: scikit learn, transformers; experiment tracking (eg MLflow/Weights & Biases); model registry.
- MLOps/DevOps: Git, CI/CD (GitHub/GitLab/Azure DevOps), Docker, Kubernetes; API gateways.
- Observability: Prometheus, Grafana, ELK/EFK, Loki; log/metrics correlation; cost/latency dashboards.
- Security & Compliance: Secrets management (Vault/Key Vault/SM), token hygiene, PII redaction, RBAC, audit logging.
- Hands‑on experience using Visual Studio Code (preferred for Python) and Visual Studio (with Python workload), along with Git and Docker for local development and containerized builds, with active usage in both C#/.NET and Python development, including debugging, code reviews, and collaborative development workflows.
- Minimum 4-

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