Ericsson
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Noida · On-site · 10-13 Yrs · Oct 15
Telecommunications Services · 10000+ Employees · Stockholm, Sweden
Ericsson is one of the leading providers of Information and Communication Technology (ICT) to service providers, with about 40% of the world’s mobile traffic carried through our networks. We enable the full value of connectivity by creating game-changing technology and services that are easy to use, adopt and scale, making our customers successful in a fully connected world. For more than 140 years, our ideas, technology and people have changed the world: real turning points that have transformed lives, industries and society as a whole.
Hiring: Engineering
What employees say
+ Good culture in R &D Pay is decent. Latest Technology.
− Hike is not up to the mark.
More reviews on the company profile.
Interview experience · Apprentice
The process began with aptitude and verbal assessments, followed by a technical interview covering telecom, networking, and project knowledge, and concluded with an HR interview focused on motivation and fit.
Average difficulty · Bengaluru · 783 reports
More interview insightsJob description
Overview
About this opportunity:
Responsibilities
- Identify and lead AI/ML, GenAI and agentic AI opportunities across Ericsson businesses and strategic customers.
- Define data science problem statements, model validation strategies and measurable business outcomes.
- Design data architectures, data flows, feature engineering approaches and ML, deep learning, GenAI and agentic AI architectures.
- Develop and deploy predictive, anomaly detection, recommendation, root-cause and other AI/ML solutions using large-scale 4G/5G/5G-Advanced, IoT and OSS/BSS data.
- Design and implement GenAI solutions using LLMs, RAG, tool calling, agent orchestration and autonomous or assisted digital-engineer workflows for network operations.
- Lead PoCs and MVPs from problem definition and data exploration through production deployment and monitoring.
- Industrialise AI solutions with product teams through production-grade code, APIs, workflows and documentation.
- Build scalable data pipelines and storage/retrieval solutions for structured and unstructured data, including KPIs, logs, text and images.
- Own the MLOps lifecycle covering training, deployment, serving, monitoring, evaluation and model lifecycle management.
- Integrate AI models with network automation applications and Ericsson platforms through standard APIs and automation interfaces.
- Apply trustworthy-AI principles, guardrails, explainability, security and human-in-the-loop controls for safe deployment in live networks.
- Bachelor's/Master's/Ph.D. in Computer Science, Data Science, AI/ML, Electrical Engineering or a related discipline.
- 10+ years of industry experience, including 5+ years of production-level AI/ML experience, with hands-on GenAI and/or agentic AI development.
- Proven experience taking AI/ML and GenAI solutions from problem definition to production, including LLM assistants, RAG and AI agents.
- Strong programming and software-engineering skills with modern AI/ML and deep-learning frameworks, APIs, version control, testing and CI/CD.
- Strong knowledge of MLOps, SDLC, observability, security, model evaluation, configuration management and production readiness.
- Practical experience with the GCP AI ecosystem, including Vertex AI, Gemini, ADK, Agent Engine/Runtime, Model Garden, vector search, BigQuery, Spanner, Knowledge Catalog and Agent Gateway.
- Strong understanding of agentic AI architecture, including orchestration, agent harnesses, A2A, MCP, memory management, context engineering and token/cost optimisation.
- Hands-on expertise in data engineering, pipelines, big-data processing, storage, indexing, partitioning and retrieval.
- Telecommunications or IoT experience, particularly 4G/5G, OSS/BSS, network automation or network intelligence, is highly desirable.
- Ability to translate complex business and network challenges into practical AI solutions and communicate effectively with technical and non-technical stakeholders.
- Strong customer and value orientation, collaboration, creativity, ownership and ability to drive complex initiatives to completion.
- Experience with AI/ML communities, technical publications, white papers, conferences or patents is a plus.
- : Developer
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Last updated 27 October 2026
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