Data Scientist

About the role

Ericsson is hiring a Data Scientist in Kolkata, West Bengal, India to build next-generation AI solutions for Telecom OSS/BSS. The role involves designing and delivering production-grade AI Agents, Enterprise Copilots, and intelligent automation using Generative AI, LLMs/SLMs, Knowledge Graphs, and cloud-native AI platforms. Day-to-day work includes developing GenAI applications, fine-tuning models, building scalable Python-based AI services and APIs, and collaborating with architects, data engineers, and business stakeholders to deliver AI-driven business outcomes.

What you’ll do

• Design and develop production-grade GenAI applications and AI Agents
• Build Enterprise Copilots using LLMs/SLMs, MCP, RAG, and Graph RAG
• Develop Knowledge Management solutions leveraging Knowledge Graphs, vector databases, and enterprise data
• Train, fine-tune, optimize, and evaluate LLMs/SLMs for domain-specific use cases
• Build scalable Python-based AI services and APIs
• Deliver enterprise AI solutions using AWS Bedrock and/or Google Vertex AI
• Collaborate with architects, data engineers, and business stakeholders to deliver AI-driven business outcomes

What you’ll bring

• Strong foundation in Statistics, Machine Learning, Deep Learning, NLP, and Generative AI
• Expert Python programming with experience building production-grade AI/GenAI applications
• Hands-on experience with AI Agents, Multi-Agent Systems, Enterprise Copilots, RAG, Graph RAG, embeddings, vector databases, and agent orchestration frameworks
• Strong understanding of Knowledge Management, Knowledge Graphs, Semantic Search, and enterprise retrieval architectures
• Experience developing MCP (Model Context Protocol)-based applications
• Experience training, fine-tuning, and optimizing LLMs/SLMs
• Expertise in AWS Bedrock and/or Google Vertex AI, including AgentCore/Agents, Knowledge Bases, Guardrails, Prompt Management, Model Customization, Vertex AI Agent Builder, and enterprise AI deployment
• Experience with cloud-native development, APIs, containers, Kubernetes, and MLOps

Nice to have

• Telecom OSS/BSS domain knowledge
• Experience with AI Reasoning, Agent Memory, Planning, and Tool Use
• Knowledge of AI Observability, Explainability, Responsible AI, and Governance
• Experience with Databricks, Snowflake, MLflow, or similar AI platforms
• Master's/Ph.D. in Computer Science, AI, Data Science, or a related field
• Publications, patents, or open-source contributions in AI/ML

Skills

Education

Master's/Ph.D. in Computer Science, AI, Data Science, or a related field is preferred.