AI/ML Python Engineer

Key Skills:

Roles and Responsibilities:

• Develop, experiment, tune, and validate AI/ML models.
• Manage infrastructure and ensure smooth deployment of models into production.
• Document processes, designs, and ensure error-free, timely completion of modules.
• Complete assigned story points and maintain robustness of developed modules.
• Address critical bugs, optimize models, and improve performance.
• Apply ML techniques to supervised/unsupervised problems including NLP and computer vision.
• Build deep learning models for text, image, and video analytics.
• Collaborate with cross-functional teams to implement end-to-end AI solutions.

Skills Required:

Must-Have:

• Strong expertise in Artificial Intelligence (AI) and Machine Learning (ML)
• Proficiency in Python and ML/AI libraries (TensorFlow, PyTorch, Scikit-learn, etc.)
• Hands-on experience in Generative AI (LLMs, text/image/video generation)
• Experience with FastAPI and Flask for building microservices

Nice-to-Have:

• Knowledge of NLP techniques (transformers, embeddings, sentiment analysis)
• Experience in Computer Vision (image/video processing models)
• Familiarity with cloud platforms (AWS, Azure, GCP) for AI model deployment
• Strong problem-solving and debugging skills

Education: