Machine Learning Engineer (Pune)

Job Summary We are looking for a talented and motivated Machine Learning Engineer with 3–6 years of hands-on experience in developing, deploying, and maintaining Machine Learning and Deep Learning solutions. The ideal candidate should have strong knowledge of ML algorithms, model development, data preprocessing, model evaluation, and production deployment. Experience with MLflow, SQL, and modern ML development practices is essential. Key Responsibilities * Design, develop, train, and deploy Machine Learning and Deep Learning models for business use cases. * Build end-to-end ML pipelines, including data collection, preprocessing, feature engineering, model training, validation, and deployment. * Develop scalable and production-ready machine learning solutions. * Perform model evaluation, hyperparameter tuning, and performance optimization. * Implement experiment tracking, model versioning, and model lifecycle management using MLflow. * Work with structured and semi-structured datasets. * Create reusable ML components and automation pipelines. * Collaborate with cross-functional teams to understand business requirements and translate them into AI solutions. * Monitor deployed models and improve model performance over time. * Document model architecture, assumptions, and deployment processes. * Stay updated with the latest advancements in Machine Learning, Deep Learning, and Generative AI technologies. Required Skills Machine Learning * Strong understanding of supervised and unsupervised learning algorithms. * Experience with classification, regression, clustering, anomaly detection. * Feature engineering and feature selection techniques. * Model evaluation metrics and validation strategies. * Hyperparameter tuning and optimization. * Model interpretability and explainability. Deep Learning * Valuable understanding of neural networks and deep learning architectures. * Hands-on experience with Transformer-based architectures (preferred) * Experience using TensorFlow, Ke