AI Engineer

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