Machine Learning Engineer

**Key Responsibilities** * Develop and deploy machine learning models for prediction, forecasting, segmentation, and optimization * Build AI\-powered applications using LLMs, embeddings, and Retrieval\-Augmented Generation (RAG) pipelines * Design and implement scalable data pipelines for large and complex datasets * Develop APIs and data\-driven applications to operationalize ML models * Collaborate with data engineering teams to deploy and monitor models in production environments * Build lightweight dashboards or user interfaces (e.g., Streamlit, Dash) for business users * Translate business problems into analytical solutions and communicate insights effectively * Ensure adherence to best practices in data governance, security, and privacy **Required Skills \& Qualifications** * 4\+ years of experience in Data Science, Machine Learning, or AI\-related roles * Strong programming skills in **Python** (Pandas, NumPy, Scikit\-learn) and **SQL** * Hands\-on experience with machine learning techniques (classification, regression, clustering, forecasting) * Experience working with large datasets and performing advanced feature engineering * Strong analytical and problem\-solving skills * Excellent communication and collaboration abilities **Preferred Qualifications** * Experience with Generative AI frameworks (OpenAI, LangChain, Hugging Face, RAG architectures) * Familiarity with cloud platforms such as AWS, Azure, Databricks, or Snowflake * Experience with distributed data processing frameworks like Spark * Exposure to front\-end tools such as Streamlit, Dash, or React * Experience deploying ML models via APIs or building end\-to\-end AI applications * Domain experience in Oil \& Gas, Energy, Retail, or Marketing analytics