Machine Learning Engineer Data Science & AI

As a ML Engineer, you'll work alongside experienced data scientists and ML engineers to build, train, and deploy machine learning models. You'll get hands-on exposure to the full ML lifecycle from data wrangling to production deployment.

Assist in building and evaluating ML/DL models for various business use casesPerform exploratory data analysis (EDA) and feature engineering on real datasetsWrite clean, efficient Python code for data pipelines and model trainingExperiment with different algorithms and track results systematicallyCollaborate with the engineering team to deploy models into productionStay updated with the latest research and bring relevant ideas to the team. Required Skills: Strong foundation in Python and its data ecosystem (NumPy, Pandas, Scikit-learn)Understanding of core ML concepts regression, classification, clustering, model evaluationFamiliarity with at least one deep learning framework (TensorFlow or PyTorch)Basic knowledge of statistics and probabilityComfortable working with data cleaning, transforming, and visualizing itFamiliarity with Git and version control Good to Have: Experience with NLP, computer vision, or time series problemsExposure to MLOps tools (MLflow, DVC, or similar)Familiarity with cloud ML services (AWS SageMaker, GCP Vertex AI, etc.)Knowledge of SQL and working with structured dataPrior internship or project experience with real datasets What We Offer: Fully remote work work from anywhereDirect exposure to cutting-edge AI and ML projectsMentorship from experienced ML practitionersA culture of experimentation and continuous learningFast-track growth opportunities as the company scales Qualifications: B.Tech / B.E. / B.Sc. in Computer Science, Data Science, Mathematics, Statistics, or a related field (2024 or 2025 batch preferred) Compensation: 240,000.00 - 500,000.00 per year Benefits: Health insurance Provident Fund Work from home Work Location: In person