- Design, develop, and deploy machine learning models for real-world applications.

- Work on Generative AI use cases to enhance business solutions.

- Implement and manage MLOps pipelines for model training, validation, monitoring, and deployment.

- Apply Computer Vision and Deep Learning techniques to solve complex logistics-related challenges.

- Optimize models for scalability, performance, and accuracy in production environments.

- Collaborate with cross-functional teams to understand business needs and deliver AI-driven solutions.

- Stay updated with the latest research and advancements in ML/AI and integrate them into projects where applicable.

Required Skills & Qualifications :

- Strong hands-on experience in Machine Learning, Deep Learning, Computer Vision, and GenAI.

- Proven experience in MLOps (model deployment, monitoring, CI/CD for ML systems).

- Proficiency in Python and ML/AI frameworks (TensorFlow, PyTorch, Keras, OpenCV, etc.).

- Experience with cloud platforms (AWS / Azure / GCP) for ML model deployment.

- Solid understanding of data structures, algorithms, and model optimization.

- Strong problem-solving skills and ability to work in a fast-paced environment.