Data Scientist

Ericsson · Kolkata

Source and collection record

Last observed by our collector: 9 October 2026 at 12:48 am IST. This is not a manual review or a confirmation from the employer.

Employer requisition: 788756

Job type and experience labels are automated discovery categories. The employer determines eligibility. Original experience wording was not retained separately; check the current employer page.

How sourcing and classification work · Report a discrepancy

Your application evidence checklist

Mark the statements you can support after reading the employer source. This checklist stays on this page; it does not score your eligibility or submit an application.

Attendance and availability: I checked the employer page for work location, office attendance, start date and duration.Current requisition: I checked the current employer requisition and its application requirements.

0 of 2 checks marked. Keep unresolved requirements as questions for the employer.

Collected role description

<div><div style="padding: 10px 0px;border: 1px solid transparent;"><div style="font-size:16px;word-wrap: break-word;"><h2 style="font-size: 1em; margin: 0px">Join our Team</h2> </div><div><p><strong>About the Role</strong><br>Ericsson is looking for a passionate Data Scientist to build next-generation AI solutions for Telecom OSS/BSS. You will design and deliver production-grade AI Agents, Enterprise Copilots, and intelligent automation using Generative AI, LLMs/SLMs, Knowledge Graphs, and cloud-native AI platforms to solve complex business problems at scale.</p><p> </p><p><strong>Key Responsibilities</strong><br>Design and develop production-grade GenAI applications and AI Agents.<br>Build Enterprise Copilots using LLMs/SLMs, MCP, RAG, and Graph RAG.<br>Develop Knowledge Management solutions leveraging Knowledge Graphs, vector databases, and enterprise data.<br>Train, fine-tune, optimize, and evaluate LLMs/SLMs for domain-specific use cases.<br>Build scalable Python-based AI services and APIs.<br>Deliver enterprise AI solutions using AWS Bedrock and/or Google Vertex AI.<br>Collaborate with architects, data engineers, and business stakeholders to deliver AI-driven business outcomes.</p><p> </p><p><strong>Required Skills</strong><br>Strong foundation in Statistics, Machine Learning, Deep Learning, NLP, and Generative AI.<br>Expert Python programming with experience building production-grade AI/GenAI applications.<br>Hands-on experience with AI Agents, Multi-Agent Systems, Enterprise Copilots, RAG, Graph RAG, embeddings, vector databases, and agent orchestration frameworks.<br>Strong understanding of Knowledge Management, Knowledge Graphs, Semantic Search, and enterprise retrieval architectures.<br>Experience developing MCP (Model Context Protocol)-based applications.<br>Experience training, fine-tuning, and optimizing LLMs/SLMs.<br>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.<br>Experience with cloud-native development, APIs, containers, Kubernetes, and MLOps.</p><p> </p><p><strong>Preferred Qualifications</strong><br>Telecom OSS/BSS domain knowledge.<br>Experience with AI Reasoning, Agent Memory, Planning, and Tool Use.<br>Knowledge of AI Observability, Explainability, Responsible AI, and Governance.<br>Experience with Databricks, Snowflake, MLflow, or similar AI platforms.<br>Master's/Ph.D. in Computer Science, AI, Data Science, or a related field is preferred.<br>Publications, patents, or open-source contributions in AI/ML are an added advantage.</p><p> </p></div></div></div>