Lead AI/ML Engineer

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.

Responsibilities:

  • Own the end-to-end AI/ML development pipelines for one or more products or enhancement initiatives. The 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 a comprehensive understanding of the challenges and opportunities to develop product features and/or enhancements.

  • Work with the 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).