Job Description

Key Responsibilities:

Design, develop, and deploy advanced Machine Learning and Deep Learning models for business-critical use cases. Build and optimize Computer Vision pipelines using models like YOLO, EfficientNet, or Transformer-based vision architectures. Integrate AI models into scalable backend services using Django, Flask, or FastAPI. Build robust RESTful APIs and manage data pipelines for AI workflows. Collaborate closely with frontend/backend engineers to bring AI features to production.

Required Qualifications:

Bachelor's/Master's degree in Computer Science, Artificial Intelligence, Data Science, or related fields. 8+ years of experience in building and deploying ML/DL models (time series, NLP, etc.). Proven expertise in Computer Vision (e.g., segmentation, detection, video analysis). Proficiency in Python, with frameworks like PyTorch, TensorFlow, OpenCV, and Hugging Face. Solid experience in backend frameworks: Django, Flask, or FastAPI, and building APIs for AI model inference. Familiarity with containerization (Docker), orchestration (Kubernetes), and cloud platforms (AWS, GCP, Azure). Exposure to MLOps tools and concepts (e.g., MLflow, Weights & Biases, CI/CD pipelines).

Preferred Skills:

* Knowledge of LLMs (e.g., GPT, LLaMA, Mistral), agentic AI frameworks such as LangChain, AutoGPT is a plus.