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
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.
Required Skills
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.
Preferred Qualifications
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 is preferred.
Publications, patents, or open-source contributions in AI/ML are an added advantage.
Skills Required
- Strong Python with hands-on ML, NLP and production-grade GenAI agent development experience
- Statistics, machine learning fundamentals, deep learning expertise
- Feature engineering and model selection experience
- Experience training LLM/SLM models and modifying network architectures
- Experience with LLMs, embeddings, retrieval systems and agent orchestration frameworks
- Track record delivering business value in production-grade GenAI agents/copilots
- Experience building RAG pipelines over network, service, customer and operational data
- Hands-on experience developing applications using MCP
- Experience with production-grade cloud-native ML deployments
- Hands-on experience with either AWS Bedrock or GCP Vertex AI
- Ability to build scalable Python services and APIs for GenAI workloads
- Optimization of SLMs for cost-efficient, low-latency deployment
- Strong academic background
- Experience with journals and patents (US/India)
- Telecom OSS/BSS domain knowledge (business and data)
- Experience in reasoning and knowledge graph work
- Awareness of AI risk, observability, explainability and responsible AI practices
- Experience with Databricks, Snowflake, DataRobot, or similar AI platforms
What the Team is Saying
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Ericsson Compensation & Benefits Highlights
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Healthcare Strength — Health coverage options are described as broad, with multiple medical plan choices (often three) plus dental and mental health resources. U.S. materials also reference PPO and HDHP options, and some teams contribute to HSAs.
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Retirement Support — U.S. postings outline a 401(k) with an automatic 3% company contribution plus matching that reaches 4% when employees contribute 5%. This combination is repeatedly listed in role postings and characterized as strong for the sector.
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Parental & Family Support — U.S. job descriptions frequently cite up to 16 weeks paid maternity leave and 6 weeks paid parental/adoption leave at 100% pay. These benefits are positioned as exceeding many U.S. corporate policies.
Ericsson Insights
What We Do
Ericsson builds the digital connectivity the world relies on. Our technology underpins the mobile networks, platforms, and systems that billions of people, businesses, and societies depend on every day. We are a global leader in communications technology, delivering mobile network infrastructure, cloud software, and wireless connectivity solutions for service providers and enterprises worldwide. Our networks support connectivity across 180+ countries, helping power everyday communication as well as critical digital services at global scale. Connectivity has evolved far beyond consumer mobile use. Today, nearly 80% of the world’s population accesses the internet via mobile networks, and Ericsson is helping shape what comes next. We are advancing 5G and 5G Advanced, developing network APIs that open connectivity to the global developer ecosystem, and applying automation and AI to make networks more intelligent, efficient, and resilient. Ericsson was the first company to launch live 5G networks on five continents, and our 5G platform is now commercially live in 150+ networks across 60+ countries. We also support more than 36,000 enterprise customers, enabling secure, high-performance connectivity for industries such as manufacturing, aviation, logistics, utilities, and public safety, where reliability and performance are mission critical. Innovation is central to how we work. Ericsson has approximately 28,000 employees in research and development, backed by one of the strongest intellectual property portfolios in the industry with 60,000+ granted patents. Our engineers, researchers, and technologists work across 100+ global R&D sites, helping define how networks evolve and how digital infrastructure is built for the long term. As the world moves toward a mobile-first, AI-powered, and cloud-driven future, connectivity becomes the foundation for digital transformation across every industry. Ericsson is building that foundation, shaping the future of digital connectivity through technology that operates at global scale and supports real-world impact, today and for what comes next.
Why Work With Us
Ericsson is a place for people who want to work on technology that powers everyday life. You’ll contribute to large-scale systems used every day, tackle complex challenges in live environments, and keep developing your skills and career in your own vision.
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Ericsson Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
Ericsson adopts a hybrid work model globally because we know balance matters. Sometimes things are better in real life. Other times we can be more productive at home. Our hybrid approach gives you the best of both worlds.
