Ml Engineer

Role & responsibilities Senior Associate in the Data & Analytics - Technology Consulting practice with over six years of experience in Data analysis, cleaning and manipulation, specialized in building Machine Learning models using classical algorithms as well as deep learning and large language models. He has hands-on experience in developing Generative AI applications with LangChain, including Retrieval-Augmented Generation (RAG), and Agentic AI solutions using LangGraph. With comprehensive domain knowledge in life sciences and aeronautics, his career includes responsibilities in ML workflows from complex data preprocessing to model development. Key expertise Technology capabilities AI Technologies: Classical Algorithms, LSTM, Transformers, Gen AI, Agentic AI (LangGraph) ML & DL: ScikitLearn, TensorFlow, PyTorch, OpenCV Relational Databases: MySQL , SQL Server, PostgreSQL. Tools: PyCharm, VS Code, Git, FastAPI. Technical Knowledge: Azure Databricks. Platforms: Azure, Ollama, Groq. Programming: Python Preferred candidate profile