Senior AI Model Development Engineer

1 week ago

Hyderabad, India Brio Technologies Full time

Role Purpose / Summary: **As a Senior AI/ML Engineer, you will be at the core of the Brio AI Factory, responsible for the hands-on development, training, and deployment of advanced artificial intelligence and machine learning models. You will implement the technical vision set by the Solutions Architect, building the high-performance AI components that power large-scale use cases and drive innovation.Key Responsibilities: ** - Develop, train, and fine-tune advanced AI/ML models, including LLMs, VLLMs, and SLMs, forspecific project requirements. - Implement complex retrieval-augmented generation (RAG) systems, leveraging both knowledgebases and graph data structures. - Design and implement sophisticated prompts and agentic AI workflows to create intelligent,autonomous systems. - Write clean, production-grade Python code for model development, data processing, and APIcreation. - Collaborate closely with Data Engineers to build and optimize data pipelines for model trainingand inference. - Work with DevOps Engineers to containerize (Docker), deploy (Kubernetes), and monitor modelswithin a CI/CD and MLOps framework. - Participate actively in an agile team, contributing to sprint planning, daily scrums, and codereviews to ensure timely delivery of high-quality AI features.Required Technical Skills: ** - Expertise in Visual Large Language Models (VLLMs), Large Language Models (LLMs), and SmallLanguage Models (SLMs). - Deep understanding and practical experience with Knowledge RAG and Graph RAG patterns. - Advanced skills in Prompt Engineering, Model Fine-tuning, and Model Distillation. - Proficiency with Vector Databases (e.G., Pinecone, Milvus) and Graph Databases (e.G., Neo4j). - Experience in designing and building Agentic AI Models and multi-agent systems.Preferred Skills / Tools / Frameworks: ** - Proficiency with core Python data science libraries (e.G., Pandas, NumPy, Scikit-learn). - Experience with deep learning frameworks such as PyTorch or TensorFlow. - Familiarity with AI/ML platforms and tools on Azure (Azure Machine Learning, Azure OpenAI). - Experience with MLOps tools like MLflow for model tracking and lifecycle management.Experience Level: ** - 7 to 9 years in a hands-on software engineering or data science role, with a primary focus onbuilding and deploying AI/ML models.Education: ** - Bachelor's degree in Computer Science, Data Science, Engineering, or a related technical field. AMaster's degree is preferred.

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