Join our Team

About this opportunity:

We are excited to present a dynamic prospect 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. Minimum 4 to 5+ years relevant experience.
Demonstrated experience delivering production-grade ML/GenAI applications
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,

📌 Gen AI ML Engineer (Noida)
🏢 Ericsson
📍 Noida