Great Opportunity AI/ML Engineering

1 day ago

Gurgaon, Haryana, India Tata Consultancy Services Full time ₹ 12,00,000 - ₹ 24,00,000 per year

Total Exp : 8 to 12 Years

Location : Delhi / NCR Region

Key Responsibilities

GenAI Solution Development

  • Design and implement GenAI-based applications for telecom network domains (e.g., NOC copilots, automated RCA assistants, network testing script generators).
  • Build and fine-tune domain-specific LLMs and prompt libraries for telecom operations, planning, and assurance.
  • Develop RAG (Retrieval-Augmented Generation) pipelines integrating GenAI with OSS/BSS, network data, and knowledge bases.
  • AI/ML Engineering
  • Collaborate with data engineers to build telecom-specific feature stores and data pipelines.
  • Train ML models for predictive maintenance, anomaly detection, KPI forecasting, and integrate them with GenAI workflows.
  • Optimize models for low-latency inference in real-time network environments.

Telecom Domain Collaboration

  • Work with SMEs from Wireless, Transport, Cloud, and Core to contextualize GenAI solutions for network challenges.
  • Translate domain requirements into AI/GenAI workflows (e.g., "alarm storm reduction assistant," "energy optimization recommender").
  • Develop APIs, microservices, or integration layers with OSS/BSS, orchestration, and ITSM platforms.

Innovation & Delivery

  • Contribute to building the AI/GenAI Practice Team IP (prompt repositories, reusable GenAI frameworks).
  • Evaluate emerging GenAI models and tools for relevance to telecom (e.g., LLaMA, GPT, Claude, Gemini, Mistral).
  • Support pre-sales, PoCs, and client workshops to showcase GenAI use cases in telecom networks.

Required Skills & Experience

Core Technical Skills

  • Strong hands-on experience with GenAI frameworks: LangChain, LlamaIndex, HuggingFace Transformers, RAG implementations.
  • Proficiency in Python (must-have), with experience in building APIs/microservices (FastAPI/Flask/Django).
  • Knowledge of Vector Databases (Pinecone, Weaviate, Milvus, FAISS).
  • Cloud experience with Azure OpenAI, AWS Bedrock, or GCP Vertex AI.
  • Experience in fine-tuning/few-shot prompting for LLMs.
  • Familiarity with MLOps/LLMOps pipelines (MLflow, Kubeflow, or equivalent).

Telecom Network Skills

  • Understanding of OSS/BSS systems and telecom network data flows.
  • Exposure to domains such as RAN KPIs, Transport performance, Fault/Event/Alarm management, Network Planning, Telco Cloud orchestration.
  • Experience in applying AI/ML to telecom datasets (KPI prediction, anomaly detection, alarm correlation, capacity planning).

Professional Skills

  • Strong problem-solving mindset with ability to design domain-aware GenAI solutions.
  • Experience in client-facing roles (workshops, solutioning, PoC presentations).
  • Ability to collaborate with cross-functional teams (data engineers, network SMEs, cloud architects).
  • Good communication skills with ability to simplify complex AI concepts for business stakeholders.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Telecommunications, Data Science, or related field.
  • Certifications in AI/ML, Cloud (Azure/AWS/GCP), or Telecom (TM Forum, 5G, Open RAN) preferred.

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