Data science ML AI Engineer

Role Overview

We are looking for a highly analytical and technically strong Data Science, Machine Learning & AI Engineer who can transform business and operational data into actionable insights, predictive models, and AI-powered solutions. The role involves the complete AI/ML lifecycle — from data collection, preprocessing and exploratory analysis to model development, evaluation, deployment, monitoring and optimization.

Responsibilities

• Collect, clean, transform and analyze structured and unstructured data.
• Develop supervised and unsupervised machine learning models including classification, regression, clustering, and forecasting.
• Develop and integrate AI-powered applications using LLMs, NLP, embeddings, vector databases and Retrieval-Augmented Generation (RAG).
• Deploy machine learning and AI models into production using APIs, Docker, and CI/CD.
• Develop production-quality Python code and efficient SQL queries.
• Collaborate with product, engineering, and business teams to translate requirements into technical solutions.

Requirements

• Strong proficiency in Python and SQL.
• Deep understanding of machine learning fundamentals, statistics, and probability.
• Experience with data preprocessing, feature engineering, and model optimization.
• Familiarity with Git/GitHub and REST APIs.
• Knowledge of Generative AI concepts like Prompt Engineering and RAG.

Skills

• Python
• SQL
• Scikit-learn
• Pandas
• LLMs

Nice to Have

• TensorFlow / PyTorch
• NLP / Computer Vision
• Docker
• AWS / Azure / GCP
• LangChain / LlamaIndex