Senior Machine Learning Engineer

Job Description

Job Description

At Zotec Partners, our People make it happen.

Transforming the healthcare industry isn’t easy. But when you build a team like the one we have, that goal can become a reality. Our accomplishments can’t happen without our extraordinary people – the men and women across the country who make up our diverse Zotec family and help make this company a best place to work.

Over 25 years ago, we started Zotec with a clear vision, to partner with physicians to simplify the business of healthcare. Today we are more than 900 employees strong and we continue to use our incredible talent and energy to bring that vision to life. We are a team of Innovators, Collaborators and Doers.

We’re seeking a Senior ML Engineer to join us.

As a Senior ML Engineer at Zotec, you will build and extend the machine learning and AI systems that give our teams direct, governed access to data and AI tooling. You will design and ship models, build the infrastructure and integrations that connect large language models to real Zotec data, and help define how AI systems reason over that data safely and accurately. This role is perfect if you’re passionate about applied ML, AI tooling, and turning complex data into systems the business can actually use.

We’re seeking ML engineering professionals with:

• Bachelor's degree required, preferably in a STEM field; Master's degree preferred
• 3-5 years delivering ML solutions at scale
• Proficiency in:
  • Python
  • Machine learning model development, training, and evaluation
  • Working with structured and unstructured data at scale
  • System design for data and ML pipelines
• Familiarity with:
  • AWS, including SageMaker, Bedrock, Lambda, and Redshift
  • Claude and other large language models
  • Ontology, knowledge graphs, or structured data modeling
  • DevOps practices, such as CI/CD pipelines and infrastructure as code (IaC)
• Experience in:
  • Building and maintaining tools and integrations that connect large language models to real data sources
  • Deploying and monitoring ML models in production on AWS
  • Applying knowledge representation (ontologies, taxonomies, or graphs) to improve retrieval or reasoning
  • Instrumenting models and pipelines for observability and performance monitoring

Who You Are:

• Can communicate clearly and effectively with cross-functional teams, including Data Engineers, Data Scientists, Business Analysts, and other engineers
• Enjoy balancing technical depth with practical problem-solving, knowing when to prioritize performance, scalability, or accuracy
• Are committed to writing clean, maintainable code and mentoring others through code reviews, documentation, and collaboration
• Enjoy collaborating closely with a supportive team to tackle complex technical challenges from start to finish
• Understand the importance of quality standards, processes, compliance and security as it relates to the healthcare industry and have general knowledge of standards such as HIPAA or PCI

What You’ll Do:

• Design, develop, and maintain the ML models and data integrations that power our AI-driven products and internal tools
• Connect large language models to real data by building and maintaining the tools and integrations that let AI systems query and reason over Zotec’s data accurately and safely
• Own the ML lifecycle from problem framing and data preparation through model training, evaluation, deployment, and monitoring
• Architect for AWS, designing scalable, cost-aware ML infrastructure using services like SageMaker, Bedrock, and Lambda
• Bring structure to data by applying ontology, taxonomy, or knowledge-graph thinking where it improves retrieval, reasoning, or data quality for AI systems

Other Ways You Can Contribute:

• Help us continue to expand our usage of LLM application patterns with your experience in retrieval-augmented generation, prompt engineering, and evaluation frameworks
• Utilize your experience with knowledge graphs and semantic data modeling to help us further improve data retrieval and reasoning
• Follow the appropriate development methodologies including Scrum and Kanban

How We Focus on Your Wellbeing:

• Paid time off (PTO) to balance a fulfilling work and personal life
• Health, dental and vision insurance
• Company paid life insurance, AD&D, and disability
• Money for your 401k
• Volunteerism support and charitable gift matching through the Zotec Effect program
• Tailored learning and professional development opportunities to help you grow your career in ways that matter to you

At Zotec, our purpose is to make healthcare work better for everyone. We value trust, excellence, and care in how we work with our clients and each other. You’ll have the opportunity to take ownership of your work, contribute ideas, and learn from experienced colleagues who want you to succeed. If that sounds like the kind of team you’d like to join, we’d like to talk with you.

Learn more about our organization, by visiting us at

E-Verify and Equal Opportunity Employer

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