Omnichannel Analytics Manager (AI Engineering)

TL;DR

Omnichannel Analytics Manager (AI Engineering): Leading the design and deployment of advanced AI and Generative AI solutions for healthcare organizations with an accent on GenAI automation and MLOps. Focus on optimizing AI/ML models, implementing RAG and LLM architectures, and integrating solutions with cloud platforms like AWS and Azure.

Company

A technology-led healthcare solutions provider focused on enabling healthcare organizations to be future-ready through the convergence of healthcare and technology.

What you will do

• Design, develop, and optimize AI/ML models for scalability, reliability, and high performance.
• Innovate using advanced GenAI technologies, including LLMs, RAG, and OpenAI APIs, to solve complex business challenges.
• Implement and manage end-to-end MLOps pipelines, covering CI/CD, model monitoring, and retraining workflows.
• Architect and deploy scalable AI/ML solutions on AWS and Azure, integrating them with Snowflake and other enterprise systems.
• Collaborate with cross-functional stakeholders to ensure AI solutions align with business objectives.
• Mentor junior engineers and establish best practices for AI/ML development and deployment.

Requirements

• 5+ years of experience in AI/ML development.
• Strong proficiency in Python and PySpark.
• Extensive hands-on experience with AI/ML frameworks, MLOps, and cloud platforms (AWS, Azure).
• Deep understanding and practical experience with Generative AI technologies.
• Ability to develop and maintain robust APIs for enterprise system integration.

Culture & Benefits

• Global fast-track career growth opportunities within a high-speed growth environment.
• Mentorship from leading industry experts.
• Culture that celebrates entrepreneurship, innovation, collaboration, and empathy.
• Commitment to inclusion, diversity, and equal opportunity.