Associate Machine Learning

Responsibilities Understand, clean, and process diverse industrial and business datasets (time-series, sensor data, operational logs, tabular and semi-structured data).Design, train, and evaluate machine learning and deep learning models for real-world business and industrial use cases.Build deployable ML/DL pipelines, including data preprocessing, model inference, and performance monitoring.Support rapid prototyping of models and experiments to validate ideas and iterate quickly.Collaborate closely with a multidisciplinary team comprising domain experts, physicists, chemical engineers, and software developers.Work with the software development team to integrate models into production-grade enterprise AI platforms.Petrochemical assets (refineries, storage tanks, pipelines, process units)Metal and mineral processing assetsAssist in model validation, documentation, and performance benchmarking.Qualifications BTech, MCA or equivalent degree with strong foundations in computer science.Solid understanding of machine learning and deep learning fundamentals.Hands-on experience with Python for ML development (NumPy, Pandas, PyTorch / TensorFlow / scikit-learn).Working knowledge of C++ for performance-critical components or integration is preferred.Ability to prototype and iterate models quickly is mandatory.Basic familiarity with data pipelines, model training workflows, and deployment concepts.Strong problem-solving skills and willingness to learn domain-specific industrial systems.Job Type: Full-time Compensation: 20,000.00 - 25,000.00 per month Application Question(s): Are you willing to relocate to NOIDACan you commit an employment of 1 year or moreExperience: Machine learning: 1 year (Required)Work Location: In person .