MLOps Engineer building production ML infrastructure, pipelines, and monitoring for exacare ai’s post - acute care AI platform. Scaling reliable systems that help healthcare teams make safer placement decisions.
About the role
- AI/ML Architect at 3Pillar setting the technical direction for scalable AI solutions across multiple domains. Evaluating technologies and aligning AI initiatives with business goals and standards.
Responsibilities
- Define end-to-end architecture for AI/ML solutions
- Serve as a strategic advisor to clients
- Architect scalable solutions using cloud-native AI tools
- Lead integration of Generative AI into enterprise applications
- Design retrieval-augmented generation (RAG) systems
- Guide teams on MLOps frameworks
- Evaluate build-vs-buy decisions for AI tools
- Evaluate emerging technologies in AI space
- Mentor technical teams and strengthen organizational expertise
- Collaborate with leadership to align strategies with business objectives
- Represent the organization at industry events
- Drive cross-functional collaboration to identify opportunities
Requirements
- Master’s degree in Computer Science, Engineering, Mathematics, or a related field with 15+ years of industry experience
- Strong grasp of AI architecture patterns
- Deep experience with Python, ML libraries
- Hands-on with Gen AI APIs
- Experience designing enterprise AI systems with MLOps
- Familiarity with APIs, microservices, and containerization
- Experience in Data Governance, Model Risk Management, and compliance
- Extensive knowledge of machine learning theory, algorithms, and methodologies
- Strong leadership and communication skills
- Demonstrated ability to think strategically and drive innovation
Benefits
- flexible work environment
- global team
- well-being programs
- career growth opportunities
- equal opportunity employer
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