Expert
Data Scientist
Join our Team
About the Role
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.
Key Responsibilities
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Design and develop production-grade GenAI applications and AI Agents.
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Build Enterprise Copilots using LLMs/SLMs, MCP, RAG, and Graph RAG.
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Develop Knowledge Management solutions leveraging Knowledge Graphs, vector databases, and enterprise data.
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Train, fine-tune, optimize, and evaluate LLMs/SLMs for domain-specific use cases.
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Build scalable Python-based AI services and APIs.
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Deliver enterprise AI solutions using AWS Bedrock and/or Google Vertex AI.
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Collaborate with architects, data engineers, and business stakeholders to deliver AI-driven business outcomes.
Required Skills
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Strong foundation in Statistics, Machine Learning, Deep Learning, NLP, and Generative AI.
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Expert Python programming with experience building production-grade AI/GenAI applications.
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Hands-on experience with AI Agents, Multi-Agent Systems, Enterprise Copilots, RAG, Graph RAG, embeddings, vector databases, and agent orchestration frameworks.
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Strong understanding of Knowledge Management, Knowledge Graphs, Semantic Search, and enterprise retrieval architectures.
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Experience developing MCP (Model Context Protocol)-based applications.
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Experience training, fine-tuning, and optimizing LLMs/SLMs.
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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.
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Experience with cloud-native development, APIs, containers, Kubernetes, and MLOps.
Preferred Qualifications
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Telecom OSS/BSS domain knowledge.
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Experience with AI Reasoning, Agent Memory, Planning, and Tool Use.
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Knowledge of AI Observability, Explainability, Responsible AI, and Governance.
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Experience with Databricks, Snowflake, MLflow, or similar AI platforms.
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Master's/Ph.D. in Computer Science, AI, Data Science, or a related field is preferred.
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Publications, patents, or open-source contributions in AI/ML are an added advantage.
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