Machine Learning Engineer - Data Science & AI

This is a remote position. Job Title: Machine Learning Engineer Data Science & AI Company: Dhan AI Role: ML Engineer / Data Science Associate Experience: Fresher / 01 years Employment Type: Full-Time, Remote Role Overview: As a fresher 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. Responsibilities Assist in building and evaluating ML/DL models for various business use cases Perform exploratory data analysis (EDA) and feature engineering on real datasets Write clean, efficient Python code for data pipelines and model training Experiment with different algorithms and track results systematically Collaborate with the engineering team to deploy models into production Stay updated with the latest research and bring relevant ideas to the team Requirements Required Skills Strong foundation in Python and its data ecosystem (NumPy, Pandas, Scikit-learn) Understanding of core ML concepts regression, classification, clustering, model evaluation Familiarity with at least one deep learning framework (TensorFlow or PyTorch) Basic knowledge of statistics and probability Comfortable working with data cleaning, transforming, and visualizing it Familiarity with Git and version control Good to Have Experience with NLP, computer vision, or time series problems Exposure 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 data Prior internship or project experience with real datasets Qualifications B.Tech / B.E. / B.Sc. in Computer Science, Data Science, Mathematics, Statistics, or a related field (2024 or 2025 batch preferred) Benefits What We Offer Fully remote work work from anywhere Direct exposure to cutting-edge AI and ML projects Mentorship from experienced ML practitioners A culture of experimentation and continuous learning Fast-track growth opportunities as the company scales This is a remote position. Job Title: Machine Learning Engineer Data Science & AI Company: Dhan AI Role: ML Engineer / Data Science Associate Experience: Fresher / 01 years Employment Type: Full-Time, Remote Role Overview: As a fresher 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. Responsibilities Assist in building and evaluating ML/DL models for various business use cases Perform exploratory data analysis (EDA) and feature engineering on real datasets Write clean, efficient Python code for data pipelines and model training Experiment with different algorithms and track results systematically Collaborate with the engineering team to deploy models into production Stay updated with the latest research and bring relevant ideas to the team Requirements Required Skills Strong foundation in Python and its data ecosystem (NumPy, Pandas, Scikit-learn) Understanding of core ML concepts regression, classification, clustering, model evaluation Familiarity with at least one deep learning framework (TensorFlow or PyTorch) Basic knowledge of statistics and probability Comfortable working with data cleaning, transforming, and visualizing it Familiarity with Git and version control Good to Have Experience with NLP, computer vision, or time series problems Exposure 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 data Prior internship or project experience with real datasets Qualifications B.Tech / B.E. / B.Sc. in Computer Science, Data Science, Mathematics, Statistics, or a related field (2024 or 2025 batch preferred) Benefits What We Offer Fully remote work work from anywhere Direct exposure to cutting-edge AI and ML projects Mentorship from experienced ML practitioners A culture of experimentation and continuous learning Fast-track growth opportunities as the company scales