Sr. AI/ML Engineer -Remote

We are seeking a Senior Data Scientist to build and deploy production-ready machine learning and generative AI solutions. This role focuses on developing intelligent systems using LLMs, agent-based architectures, and scalable MLOps practices. Key Responsibilities Build, deploy, and optimize ML and generative AI solutions in production Develop Retrieval Augmented Generation (RAG) pipelines and AI agents Implement agent orchestration patterns (MCP, A2A) using LangChain and LangGraph Design MLOps pipelines for model training, deployment, monitoring, and feedback loops Collaborate with data engineering teams on data pipelines and features Mentor junior data scientists and contribute to AI best practices

5 years in data science or machine learning Strong experience with LLMs, generative AI, and prompt/context engineering Hands-on RAG and vector database experience Proficiency in Python, PyTorch and/or TensorFlow Solid MLOps experience (CI/CD, model versioning, monitoring) Experience deploying models on cloud platforms (AWS, Azure, or GCP) Strong communication and stakeholder engagement skills Preferred Experience Regulated industry experience (finance, healthcare) Experience with OpenAI / Anthropic APIs Vector databases (Pinecone, Weaviate, Chroma) Large-scale or distributed model deployment Open-source ML/AI contributions Tech Stack Python, SQL * PyTorch, TensorFlow, scikit-learn * LangChain, LangGraph, Hugging Face Docker, Kubernetes, MLflow * AWS / Azure / GCP * Vector databases Bonus/Soft Skills :

• The team values adaptability, eagerness to learn, and excitement about AI/ML and GenAI.
• Company culture is collaborative and fast-paced, with a focus on innovation.
• The team is currently using Snowflake and Azure, with professional services support for MLOps setup.