Data Scientist

Job Description

Engineer/Sr. Engineer Data Science Location: Pune, India Company Overview: Simplify Healthcare is one of the fastest-growing healthcare technology solutions providers serving the US health insurance (Payer) industry. Headquartered in Chicago with a Global Delivery Centre in Pune, we are trusted by 65+ payer organizations and supported by a team of 800+ professionals. We specialize in delivering SaaS-based enterprise software solutions focused on product and benefits configuration, provider lifecycle management, and more. In 2023, we launched Simplify Health Cloud, our flagship Payer Platform, establishing our position as a leader in cloud-native, low-code configurable platforms for the healthcare sector. With our strategic acquisition of Virtical.ai in 2024, we’re accelerating innovation through AI integration, particularly in areas such as LLMs, conversational AI, and cloud-based intelligence. Our proprietary Simplify App Fabric™ enables fast, secure, and low-code development for modern Payer solutions. Our innovation has earned us repeated recognition in Deloitte Technology Fast 500™, Inc. 5000, and reports by IDC and Gartner. Role Summary: We are seeking a highly skilled and hands-on Engineer / Sr. Engineer – Data Science to join our AI and NLP engineering team. This role is critical to building scalable, intelligent systems leveraging Large Language Models (LLMs), NLP frameworks, and speech technologies. Key Responsibilities: Design and develop scalable NLP pipelines for various healthcare applications. Integrate and fine-tune LLMs (OpenAI, open-source) with Retrieval-Augmented Generation (RAG) frameworks like LangChain. Build and deploy APIs for conversational agents, chatbots, and AI-driven interfaces. Implement Speech-to-Text (STT) and Text-to-Speech (TTS) services using Azure, AWS, or Google Cloud. Work with vector databases like Pinecone to enable semantic search and context-aware interactions. Collaborate with cross-functional teams throughout the SDLC to deliver AI capabilities within our healthcare platform. Apply DevOps/MLOps practices for CI/CD, monitoring, and model lifecycle management. Mentor junior engineers and guide implementation across teams. Acquire and apply functional knowledge of the US healthcare system and Payer business processes. Required Qualifications: 5+ years of software development experience, with at least 2 years in NLP engineering. Strong coding proficiency in Python, particularly for NLP and AI/ML tasks. Hands-on experience with spaCy, NLTK, or similar NLP frameworks. Proven experience working with LLMs, LangChain, or RAG-based architectures. Experience with TTS/STT tools like Azure Speech Services, Google Cloud Speech, Amazon Polly, etc. Familiarity with vector databases (e.g., Pinecone) for semantic and contextual retrieval. Cloud experience, especially Microsoft Azure; knowledge of AWS or GCP is also acceptable. Understanding of DevOps/MLOps pipelines and tooling (e.g., CI/CD, model versioning). Exposure to AI/ML frameworks such as PyTorch, TensorFlow, or Scikit-learn. Preferred (Good to Have): Experience in deploying LLMs or chatbots in production. Domain knowledge in healthcare or Payer systems. Exposure to low-code/no-code development platforms. What We Offer: Work on cutting-edge AI/LLM products in healthcare. A fast-growing, innovation-focused environment. Opportunities for learning, mentorship, and career growth. Global exposure with a focus on real-world AI applications. Interested candidates to send updated resume with contact number on seba.vipulsam@simplifyhealthcare.com on priority.