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.