Join our team as a Lead AI/ML Engineer, where you’ll drive the development and deployment of cutting-edge AI solutions, optimize deep learning models, and create robust backend APIs to advance our technological capabilities.

Responsibilities:

• Evaluate, Compare, Implement and Optimize Deep Learning solutions for a wide variety of Computer Vision problems.
• Develop backend APIs for ML Inference and ML Applications.
• Deploy AI solutions on cloud platforms like AWS, Google Cloud, and Azure.

Requirements:

• Solid understanding of CNNs and RNNs.
• Experience in EDA and Feature Engineering.
• Hands-on experience in building, deploying, and improving models using popular Deep Learning frameworks (PyTorch, Tensorflow) and Machine Learning frameworks (Sklearn, XGBoost, PyCaret).
• Knowledge in Image Processing, Object Classification and Detection, Object Tracking.
• Knowledge in Model Interpretability and Experiment Tracking tools like MLFlow/Weights and Biases.
• Strong programming, debugging, and problem-solving skills in Python, Flask, FastAPI with Linux.
• The ideal candidate must be passionate about AI and stay up-to-date with the latest developments in the field.