AI/ML Engineer

Responsibilities: - Train and evaluate ML/DL models for classification, regression, or computer vision tasks. - Prepare and process structured and unstructured datasets (design files, simulations, time-series, sensors). - Prototype solutions such as anomaly detection, surrogate modeling , or recommendation systems. - Automate workflows using Python and common ML libraries. - Collaborate with senior engineers to integrate ML into larger systems and tools. - Learn and support advanced areas like reinforcement learning, optimization, and generative design. - Document experiments, findings, and best practices. Requirements: - Bachelor degree in Computer Science, Data Science, or related field. - 2 to 3 years of experience in AI/ML development. - Proficiency in Python with exposure to ML/DL frameworks ( PyTorch , TensorFlow, scikit-learn). - Strong foundation in ML concepts: data prep, feature engineering, model evaluation. - Familiarity with cloud-based ML services (AWS, Azure, GCP). - Exposure to reinforcement learning, optimization, or physics-informed ML. - Experience with handling engineering/simulation datasets. - Knowledge of MLOps practices (basic CI/CD for ML). - Curiosity to learn advanced AI integration and cross-platform workflows. Skills: Gcp, MLops, Azure, Aws, Python Experience: 3.00-8.00 Years