Overview
We are seeking a highly experienced Data Scientist with a strong foundation in ML/DL, experience in Computer Vision, with affinity towards upcoming technologies like Generative AI (GenAI) and Large Language Models (LLMs). The ideal candidate will lead and deploy cutting-edge AI solutions, bridging the gap between intelligent models and scalable backend architectures.
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
- bachelors/masters degree in Computer Science, Artificial Intelligence, Data Science, or related fields.
- 5+ 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.