Lead Engineer AI - Pune, India - Simplify Healthcare

    Simplify Healthcare
    Simplify Healthcare Pune, India

    1 week ago

    Default job background
    Technology / Internet
    Description

    About Us:

    Simplify Healthcare is one of the fastest-growing healthcare technology solutions providers to the US Health Insurance industry. With deep subject matter & technology expertise, we have built market-leading software solutions around Product, Benefits in Provider lifecycle management. In 2023, we launched Simplify Health Cloud, our flagship Payer Platform.

    With HQ in Chicago, Global Delivery Centre in Pune, 700+ FTEs and 50+ Payer customers, we are poised for an exponential growth in coming years. The company has been getting consistently ranked in Deloittes Technology Fast 500 list, the Inc. 5000 Americas fastest-growing private companies list, IDC and Gartner reports.

    Role

    As a Lead AI/ML Engineer, you will bring your professional expertise in AI/ML development and technical stack to Simplify Healthcare in developing new products and/or enhancing existing products with AI/ML capabilities and efficiencies.

    In your day-to-day journey, you will:

    • Own the end-to-end AI/ML development pipelines for one or more products or enhancement initiatives. End-to-end AI/ML development pipeline will include model development, tuning, data pre-processing, training, validation and deployment, and other steps as needed.
    • Collaborate with Business, Product, and Client Implementation teams to establish comprehensive understanding of the challenges and opportunities to develop product features and/or enhancements.
    • Work with Architecture team and other AI/ML engineers to design efficient and scalable models and applications and deploy them for high volume consumption.

    Required Skills

    • 8+ years of experience in software development with at least 2 years in developing AI or ML pipelines.
    • Proficiency in Python.
    • Hands on experience with one or more of the AI/ML frameworks such as PyTorch, TensorFlow and/or Scikit-Learn.
    • Hands on experience in deploying AI models as APIs.
    • Hands-on experience with integrating LLMs (OpenAI or Open Source) with RAG frameworks such as LangChain or LlamaIndex, and Vector Databases such as Pinecone or Milvus or similar.
    • Hands on experience in working with any of the cloud platforms such as Azure (Preferred), AWS or GCP.
    • Familiarity with NLP frameworks such as NLTK or spaCy.
    • Experience with DevOps and MLOps (Preferred).