Data Scientist

We are hiring for a Data Scientist with,

• 7+ years of experience in data science, machine learning, or AI-related roles.
• Expert in Python, including libraries like scikit-learn, pandas, NumPy, and PyTorch or TensorFlow.
• Strong understanding of core ML algorithms: supervised, unsupervised, and deep learning techniques.
• Experience with LLMs and building GenAI applications using frameworks like LangChain, LlamaIndex, or similar.
• Deep knowledge of RAG (Retrieval-Augmented Generation) and integrating knowledge bases with LLMs.
• Understanding of agentic AI principles and ability to design autonomous AI workflows.
• Proficient in Prompt Engineering: crafting, testing, and refining prompts for accuracy, reliability, and depth.
• Problem-solving mindset with a strong ability to think smart and solution creatively under constraints.
• Familiar with cloud platforms (AWS, GCP, Azure) and version control (Git).
• Excellent communication and collaboration skills.

Key Responsibilities:

• Collaborate with stakeholders to understand business requirements and translate them into technical specifications.
• Design, develop, and deploy robust machine learning models and AI-driven solutions.
• Work with LLMs (Large Language Models) and implement RAG-based architectures to enhance generative capabilities using external knowledge sources.
• Explore and apply principles of agentic AI to build autonomous agents capable of reasoning and task execution.
• Leverage Prompt Engineering techniques to optimize interactions with LLMs for specific use cases.
• Write clean, efficient, and production-ready Python code, integrating with APIs, data sources, and front-end systems as needed.
• Conduct model evaluation, A/B testing, and performance tuning.
• Mentor junior data scientists and contribute to the development of best practices and reusable components.
• Stay updated on the latest trends in ML, AI, and GenAI ecosystems.