As a Gen AI ML Engineer, you'll develop and productionize scalable ML/GenAI models, collaborate with teams, and enhance AI solutions while ensuring security and governance.
Join our Team
About this opportunity:
We are excited to present a dynamic opportunity at the forefront of AI and data science for a Data Scientist to join our team. You will translate complex data into actionable insights, design scalable ML/GenAI solutions, and contribute to a cutting-edge product roadmap. This role blends hands-on model development with collaboration across cross-functional teams, enabling impactful outcomes in a fast-paced environment.
What you will do:
• Design, develop, and productionize scalable ML/GenAI models and pipelines with a focus on reliability, accuracy, and cost efficiency
• Build Retrieval-Augmented Generation (RAG) pipelines and agentic systems using advanced LLMs.
• Hands on Agentic AI, AI Loops, Agent loop, Strands,Agent skills, MCP,A2A, Hugging Face, RAG, LLM tunning, LangChain
• Fine-tune, optimize, and deploy transformer-based models (GPT, Llama, Mistral, etc.) for enterprise use cases
• Architect multi-agent frameworks (tool-augmented reasoning, orchestration, memory management)
• Deliver robust APIs and services for ML/GenAI models with performance monitoring and governance
• Collaborate with software engineers and DevOps to scale AI systems across cloud, hybrid, and on-prem environments
• Drive automation in model deployment, monitoring, retraining, and drift detection
• Ensure security, compliance, and governance while delivering high-value AI solutions
• Stay ahead of GenAI and infrastructure innovations, translating them into actionable product enhancements
The skills you bring:
• Bachelor's/Master's in Computer Science, Data Science, Statistics, or a related field
• Demonstrated experience delivering production-grade ML/GenAI applications and Hands on Agentic AI, AI Loops, Agent loop, Strands,Agent skills, MCP,A2A, Hugging Face, RAG, LLM tunning, LangChain
• Strong Python (3.x) proficiency with ML/DL frameworks (PyTorch, TensorFlow, Hugging Face)
• Hands-on experience with LLMs, fine-tuning methods (LoRA, PEFT, quantization)
• Deep expertise in RAG pipelines, embeddings, and vector databases (e.g., Elastic, Pinecone, Milvus)
• Practical knowledge of GenAI frameworks (LangChain, LlamaIndex, Haystack, LangGraph, AutoGen, Crew.ai)
• Understanding of multi-agent systems, orchestration, and reasoning loops
• Familiarity with Model Context Protocol (MCP) for secure GenAI integrations
• Experience with cloud-native ML engineering (Azure OpenAI, AWS Bedrock) and container orchestration (Docker/Kubernetes)
• Appreciation of Responsible AI practices, including transparency and ethical use of GenAI
• Proficiency with MLOps: CI/CD for ML, monitoring, retraining, and scaling
Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: India (IN) || Gurgaon
Req ID: 783479
#BI-Hybrid
About this opportunity:
We are excited to present a dynamic opportunity at the forefront of AI and data science for a Data Scientist to join our team. You will translate complex data into actionable insights, design scalable ML/GenAI solutions, and contribute to a cutting-edge product roadmap. This role blends hands-on model development with collaboration across cross-functional teams, enabling impactful outcomes in a fast-paced environment.
What you will do:
• Design, develop, and productionize scalable ML/GenAI models and pipelines with a focus on reliability, accuracy, and cost efficiency
• Build Retrieval-Augmented Generation (RAG) pipelines and agentic systems using advanced LLMs.
• Hands on Agentic AI, AI Loops, Agent loop, Strands,Agent skills, MCP,A2A, Hugging Face, RAG, LLM tunning, LangChain
• Fine-tune, optimize, and deploy transformer-based models (GPT, Llama, Mistral, etc.) for enterprise use cases
• Architect multi-agent frameworks (tool-augmented reasoning, orchestration, memory management)
• Deliver robust APIs and services for ML/GenAI models with performance monitoring and governance
• Collaborate with software engineers and DevOps to scale AI systems across cloud, hybrid, and on-prem environments
• Drive automation in model deployment, monitoring, retraining, and drift detection
• Ensure security, compliance, and governance while delivering high-value AI solutions
• Stay ahead of GenAI and infrastructure innovations, translating them into actionable product enhancements
The skills you bring:
• Bachelor's/Master's in Computer Science, Data Science, Statistics, or a related field
• Demonstrated experience delivering production-grade ML/GenAI applications and Hands on Agentic AI, AI Loops, Agent loop, Strands,Agent skills, MCP,A2A, Hugging Face, RAG, LLM tunning, LangChain
• Strong Python (3.x) proficiency with ML/DL frameworks (PyTorch, TensorFlow, Hugging Face)
• Hands-on experience with LLMs, fine-tuning methods (LoRA, PEFT, quantization)
• Deep expertise in RAG pipelines, embeddings, and vector databases (e.g., Elastic, Pinecone, Milvus)
• Practical knowledge of GenAI frameworks (LangChain, LlamaIndex, Haystack, LangGraph, AutoGen, Crew.ai)
• Understanding of multi-agent systems, orchestration, and reasoning loops
• Familiarity with Model Context Protocol (MCP) for secure GenAI integrations
• Experience with cloud-native ML engineering (Azure OpenAI, AWS Bedrock) and container orchestration (Docker/Kubernetes)
• Appreciation of Responsible AI practices, including transparency and ethical use of GenAI
• Proficiency with MLOps: CI/CD for ML, monitoring, retraining, and scaling
Why join Ericsson?At Ericsson, you'll have an outstanding opportunity. The chance to use your skills and imagination to push the boundaries of what's possible. To build solutions never seen before to some of the world's toughest problems. You'll be challenged, but you won't be alone. You'll be joining a team of diverse innovators, all driven to go beyond the status quo to craft what comes next.
What happens once you apply? Click Here to find all you need to know about what our typical hiring process looks like.Encouraging a diverse and inclusive organization is core to our values at Ericsson, that's why we champion it in everything we do. We truly believe that by collaborating with people with different experiences we drive innovation, which is essential for our future growth. We encourage people from all backgrounds to apply and realize their full potential as part of our Ericsson team. Ericsson is proud to be an Equal Opportunity Employer. learn more.
Primary country and city: India (IN) || Gurgaon
Req ID: 783479
#BI-Hybrid
Ericsson Bengaluru, Karnataka, IND Office
Ericsson Bengaluru Hub Office
Major tech campus on the Outer Ring Road with offices, food courts and services inside the park. Close to key residential areas, though busy, it’s central to Bengaluru’s tech ecosystem.
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What you need to know about the Bengaluru Tech Scene
Dubbed the "Silicon Valley of India," Bengaluru has emerged as the nation's leading hub for information technology and a go-to destination for startups. Home to tech giants like ISRO, Infosys, Wipro and HAL, the city attracts and cultivates a rich pool of tech talent, supported by numerous educational and research institutions including the Indian Institute of Science, Bangalore Institute of Technology, and the International Institute of Information Technology.
