Simpliigence - Data Scientist - Machine Learning/Artificial Intelligence

<p><p><b>Description :</b></p><p><br/>We are hiring for a Data Scientist with,<br/><br/></p><p>- 7+ years of experience in data science, machine learning, or AI-related roles.<br/><br/></p><p>- Expert in Python, including libraries like scikit-learn, pandas, NumPy, and PyTorch or TensorFlow.<br/><br/></p><p>- Strong understanding of core ML algorithms : supervised, unsupervised, and deep learning techniques.<br/><br/></p><p>- Experience with LLMs and building GenAI applications using frameworks like LangChain, LlamaIndex, or similar.<br/><br/></p><p>- Deep knowledge of RAG (Retrieval-Augmented Generation) and integrating knowledge bases with LLMs.<br/><br/></p><p>- Understanding of agentic AI principles and ability to design autonomous AI workflows.<br/><br/></p><p>- Proficient in Prompt Engineering : crafting, testing, and refining prompts for accuracy, reliability, and depth.<br/><br/></p><p>- Problem-solving mindset with a strong ability to think smart and solution creatively under constraints.<br/><br/></p><p>- Familiar with cloud platforms (AWS, GCP, Azure) and version control (Git).<br/><br/></p><p>- Excellent communication and collaboration skills.<br/><br/><b>Key Responsibilities :</b></p><p><br/>- Collaborate with stakeholders to understand business requirements and translate them into technical specifications.<br/><br/></p><p>- Design, develop, and deploy robust machine learning models and AI-driven solutions.<br/><br/></p><p>- Work with LLMs (Large Language Models) and implement RAG-based architectures to enhance generative capabilities using external knowledge sources.<br/><br/></p><p>- Explore and apply principles of agentic AI to build autonomous agents capable of reasoning and task execution.<br/><br/></p><p>- Leverage Prompt Engineering techniques to optimize interactions with LLMs for specific use cases.<br/><br/></p><p>- Write clean, efficient, and production-ready Python code, integrating with APIs, data sources, and front-end systems as needed.<br/><br/></p><p>- Conduct model evaluation, A/B testing, and performance tuning.<br/><br/></p><p>- Mentor junior data scientists and contribute to the development of best practices and reusable components.<br/><br/></p><p>- Stay updated on the latest trends in ML, AI, and GenAI ecosystems.<br/><br/></p><br/></p> (ref:hirist.tech)