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