AI Engineer

Company: Indian / Global Engineering & Manufacturing Organization Key Skills: Machine Learning, AI Artificial intelligence, Artificial Intelligence, Python, Pytorch. Roles and Responsibilities: Develop, fine-tune, and deploy AI/ML models using frameworks such as TensorFlow, PyTorch, and Scikit-learn. Design and implement data pipelines, perform feature engineering, and handle data preprocessing for training and inference. Integrate AI models into business applications and APIs, ensuring scalability and performance. Collaborate with MLOps teams to deploy solutions on cloud platforms like AWS, Azure, or Google Cloud using CI/CD pipelines, Docker, and Kubernetes. Conduct model evaluation, hyperparameter tuning, and implement strategies for continuous performance improvement. Apply AI techniques to solve real-world problems in domains such as NLP, computer vision, or reinforcement learning. Work closely with cross-functional teams including data scientists, software engineers, and business stakeholders to deliver end-to-end AI solutions. Communicate complex technical concepts and model behavior clearly to non-technical stakeholders. Experience Requirement: 3-5 years of experience in building and deploying AI/ML models into production environments. Experience in setting up and managing CI/CD pipelines for model deployment. Proven ability in optimizing underperforming models through data analysis, feature selection, and algorithm tuning. Demonstrated collaboration on cross-functional projects to embed AI in real-world business applications. Strong background in model lifecycle management and production-grade AI system development. Education: M.E., MCA, BCA, B.E., B.Tech. Show more Show less