Data Scientist

• Manage the full lifecycle of AI features, from initial data exploration and model training to final deployment and maintenance
• Build, evaluate, and fine-tune models using the best-fit architectures, whether they are traditional statistical models or modern deep learning networks
• Develop solutions that combine Core Data Science (predictive modeling) with modern Generative AI (LLMs) and Computer Vision (Image/Video processing)
• Design and implement AI Agents and RAG (Retrieval-Augmented Generation) systems using frameworks like LangChain to automate complex business tasks
• Develop and maintain APIs and microservices to seamlessly integrate AI models into our products and business systems
• Perform regular model testing and troubleshooting to ensure accuracy and reliability in live production environments
• Work closely with Data Engineering, Product, and DevOps teams to deliver high-quality, scalable AI-driven projects
• Maintain clear and comprehensive documentation for all data science experiments and deployed solutions
• Stay updated with the latest research in Generative AI, Computer Vision, and MLOps to drive constant innovation within the team

• Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related technical field
• 3+ years of hands-on experience in designing and deploying AI/ML solutions
• Strong understanding of ML algorithms, Deep Learning, and statistical modelling
• Proficient in Python and experienced with libraries such as Scikit-learn, TensorFlow, PyTorch, and OpenCV
• Hands-on experience with Generative AI frameworks (LangChain, Hugging Face) and working with LLM APIs (OpenAI, Anthropic)
• Familiarity with Vector Databases (e.g., Pinecone, Milvus, Chroma) and embedding-based search
• Experience with cloud platforms (AWS, GCP, or Azure) and an understanding of MLOps (Docker, CI/CD, model versioning)
• Strong focus on efficient and maintainable system design
• Excellent problem-solving skills and the ability to thrive in a fast-paced, innovation-driven environment

Exposure to Big Data tools like Spark or Snowflake is a significant plus