Great Opportunity AI/ML Engineering
2 days ago
Total Exp : 8 to 12 YearsLocation : Delhi / NCR RegionKey ResponsibilitiesGenAI 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 & ExperienceCore 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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