{"id":2073445,"url":"https://alion.io/job/ericsson-data-scientist-2","title":"Data Scientist","company":{"id":56456,"name":"Ericsson","domain":"ericsson.com","url":"https://alion.io/company/ericsson","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Eightfold","truth_index":{"grade":"B","score":77,"open_postings":79,"ghost_share":0,"stale_share":0.937,"repost_share":0,"time_to_fill_p50_days":26,"computed_at":"2026-10-08T05:49:30Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Kolkata, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"AWS Bedrock","optional":false},{"name":"AWS Bedrock AgentCore","optional":false},{"name":"Embeddings","optional":false},{"name":"Fine-tuning","optional":false},{"name":"GraphRAG","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM Guardrails","optional":false},{"name":"Machine Learning","optional":false},{"name":"Model Context Protocol","optional":false},{"name":"Multi-Agent Systems","optional":false},{"name":"NLP","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Semantic Search","optional":false},{"name":"Semantic Search","optional":false},{"name":"Vertex AI","optional":false},{"name":"Vertex AI Agent Builder","optional":false},{"name":"Databricks","optional":true},{"name":"Function Calling","optional":true},{"name":"MLFlow","optional":true},{"name":"Snowflake","optional":true},{"name":"Tool Use","optional":true}],"status":"live","first_seen_at":"2026-07-29T08:03:53Z","employer_posted_date":"2026-10-08","last_verified_at":"2026-10-09T02:17:18Z","board_verified":true,"closed_at":null,"days_open":71,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":71},"description":"Join our Team\nAbout the Role\nEricsson 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.\nKey Responsibilities\nDesign and develop production-grade GenAI applications and AI Agents.\nBuild Enterprise Copilots using LLMs/SLMs, MCP, RAG, and Graph RAG.\nDevelop Knowledge Management solutions leveraging Knowledge Graphs, vector databases, and enterprise data.\nTrain, fine-tune, optimize, and evaluate LLMs/SLMs for domain-specific use cases.\nBuild scalable Python-based AI services and APIs.\nDeliver enterprise AI solutions using AWS Bedrock and/or Google Vertex AI.\nCollaborate with architects, data engineers, and business stakeholders to deliver AI-driven business outcomes.\nRequired Skills\nStrong foundation in Statistics, Machine Learning, Deep Learning, NLP, and Generative AI.\nExpert Python programming with experience building production-grade AI/GenAI applications.\nHands-on experience with AI Agents, Multi-Agent Systems, Enterprise Copilots, RAG, Graph RAG, embeddings, vector databases, and agent orchestration frameworks.\nStrong understanding of Knowledge Management, Knowledge Graphs, Semantic Search, and enterprise retrieval architectures.\nExperience developing MCP (Model Context Protocol)-based applications.\nExperience training, fine-tuning, and optimizing LLMs/SLMs.\nExpertise 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.\nExperience with cloud-native development, APIs, containers, Kubernetes, and MLOps.\nPreferred Qualifications\nTelecom OSS/BSS domain knowledge.\nExperience with AI Reasoning, Agent Memory, Planning, and Tool Use.\nKnowledge of AI Observability, Explainability, Responsible AI, and Governance.\nExperience with Databricks, Snowflake, MLflow, or similar AI platforms.\nMaster's/Ph.D. in Computer Science, AI, Data Science, or a related field is preferred.\nPublications, patents, or open-source contributions in AI/ML are an added advantage.","description_format":"text","description_chars":2296,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"master","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Mobile Networks","Telecom Infrastructure","Network Equipment"],"lifecycle":[{"event":"open","at":"2026-10-08T07:56:35Z"}],"visa":[],"liveness":{"score":8,"band":"cold","label":"Long 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