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Jr Customer Service Executive - Platform Planning & Network Design at Tata Communications — Chennai

Experience1–2 yrs
SalaryNot disclosed
RoleAI Engineer
Work modeonsite
Posted13 Oct 2026

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About Tata Communications

Tata Communications is hiring in Chennai in telecom. This role looks for around 1+ years of experience.

Skills

Python
scikit-learn
TensorFlow
PyTorch
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
embeddings
vector databases
semantic search
document retrieval
REST APIs
JSON
microservices
SQL
Pandas
NumPy
Git

The role

Builds AI solutions for a telecommunications company. Develops GenAI applications, RAG solutions, and intelligent automation for business and operational processes using Python, machine learning, and LLMs. Integrates models with enterprise applications through REST APIs and microservices.

Full job description

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

Role: AI Developer / AI Engineer

Function: AI / ML / GenAI / Automation

Role Summary

The AI Developer will design, develop, integrate, and enhance AI-driven solutions for business and operational use cases. The role will focus on machine learning, GenAI, intelligent automation, data processing, and integration of AI capabilities with enterprise applications and operational platforms.

Key Responsibilities

Design and develop AI/ML solutions based on business and operational requirements.Develop GenAI applications leveraging Large Language Models (LLMs).Build AI-powered automation for operational and business processes.Develop solutions for classification, prediction, anomaly detection, summarization, recommendation, and information extraction.Design and implement Retrieval-Augmented Generation (RAG) solutions where appropriate.Integrate AI models with enterprise applications through APIs and microservices.Develop and optimize prompts and orchestration workflows for GenAI applications.Evaluate AI model accuracy, quality, reliability, and performance.Build data preprocessing, feature-engineering, training, and inference pipelines.Implement appropriate controls for AI security, privacy, access, and responsible use.Collaborate with data analysts, developers, architects, automation teams, and business stakeholders.Prepare technical documentation, solution designs, and deployment artefacts.Monitor deployed AI solutions and continually improve their performance.

Technical Skills

Programming: Strong Python development skills.AI/ML: Scikit-learn, TensorFlow, PyTorch, or equivalent frameworks.GenAI/LLMs: Practical experience building LLM-based applications.RAG: Knowledge of embeddings, vector databases, semantic search, and document retrieval.APIs: REST APIs, JSON, integration, and microservices.Databases: SQL and exposure to NoSQL databases.Knowledge of data processing with Pandas and NumPy.Experience with Git and software development lifecycle practices.Exposure to Azure AI, Azure OpenAI, AWS, GCP, or similar cloud AI platforms is desirable.Understanding of Docker, CI/CD, and deployment practices is preferred.