In Time Tec - Data Scientist - Python/Machine Learning in Bangalore, भारत

Key Responsibilities : - Develop, train, and deploy machine learning models to solve business problems (Classification, Regression, Anomaly Detection, Forecasting, etc.).- Perform data preprocessing, feature engineering, and exploratory data analysis.- Collaborate with data engineers, product managers, and domain experts to integrate models into production systems.- Monitor, evaluate, and optimise model performance using industry best practices.- Contribute to the design and implementation of ML pipelines and MLOps practices.- Document models, workflows, and key decisions for reproducibility and team knowledge sharing.- Stay updated with the latest trends in data science, machine learning, and https://jobeax.com/link/ZamumwRzozPx7l4P Skills & Experience : - 2+ years of hands-on experience in data science or applied machine learning roles.- Proficiency in Statistics, and Linear Algebra is a Must.- Proficiency in Python and common ML libraries (e.g., scikit-learn, pandas, NumPy, TensorFlow or PyTorch).- Experience with data wrangling, statistical analysis, and model evaluation.- Exposure to NLP, computer vision, or deep learning (at least one area).- Familiarity with CI/CD pipelines and MLOps tools.- Experience working with relational databases (SQL) and version control (Git, Bitbucket).- Strong analytical and problem-solving skills.- Shall be able to go below the hood; and tweak 'existing Code' / 'established Algorithms' to suit given Problem Statements.- Ability to communicate technical concepts clearly to non-technical stakeholders.- Experience working in agile or cross-functional https://jobeax.com/link/KvQ8HjPK4hvYAJaE to Have : - Experience with cloud platforms (AWS, Azure, or GCP).- Exposure to agentic AI frameworks (LangChain, CrewAI, etc.) or LLMs.- Knowledge of deployment and automation tools.- Prior experience in manufacturing, automotive, or enterprise software domains.- Certifications in Data Science, ML, or Cloud. (ref:hirist.tech)