Gen AI/ML Senior Engineer
- Ericsson
- 4 - 9 years
- Kolkata
- 4 months ago
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Job Description
Key Responsibilities
- Design, build, and productionize scalable ML/GenAI models and pipelines with a focus on reliability and precision
- Develop retrieval-augmented generation (RAG) pipelines and agentic systems using advanced LLMs
- Fine-tune, optimize, and deploy transformer-based models (GPT, Llama, Mistral, etc.) for enterprise use cases
- Architect and implement multi-agent frameworks (tool-augmented reasoning, orchestration, memory management)
- Deliver robust APIs and services for ML/GenAI models with performance and cost optimization in mind
- Collaborate with software engineers and DevOps teams to scale AI systems across environments (cloud, hybrid, on-prem)
- Drive automation in model deployment, monitoring, retraining, and drift detection for continuous improvement
- Ensure security, compliance, and governance while delivering high-value AI solutions
- Stay ahead of GenAI, LLM, and infrastructure innovations, bringing applied advancements into the product roadmap
Required Skills and Qualifications
- Bachelors/Masters degree in Computer Science or related field
- Proven experience in delivering production-grade ML/GenAI applications
- Strong proficiency in Python (3.x) with ML/DL frameworks (PyTorch, TensorFlow, Hugging Face)
- Hands-on experience with LLMs and fine-tuning methods (LoRA, PEFT, quantization)
- Deep expertise in RAG pipelines, embeddings, and vector databases (Elastic , Pinecone, Milvus etc)
- Applied knowledge of GenAI frameworks (LangChain, LlamaIndex, Haystack, LangGraph, AutoGen, Crew.ai)
- Strong understanding of Agent-based systems (multi-agent orchestration, tool use, reasoning loops)
- Familiarity with Model Context Protocol (MCP) for secure and interoperable GenAI integrations
- Experience with cloud-native ML engineering (Azure OpenAI, AWS Bedrock) and container orchestration (Docker/Kubernetes)
- Experience with Responsible AI practices, including transparency, and ethical use of GenAI models.
- Proficiency with MLOps practices: CI/CD for ML, monitoring, retraining, and scaling
Immediate Joiners or Less Notice Period are preferable
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full timeContact Details:
Company: EricssonLocation(s): Kolkata
Keyskills: LLM ML/GenAI GenAI frameworks RAG Python Tensorflow Crew.ai PEFT LangChain Pytorch Huggingface LangGraph AutoGen Lora Milvus LlamaIndex Haystack
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