Zotec Partners

Senior Machine Learning Engineer

Zotec Partners$120K — $145K *
Healthcare
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Bachelor's degree in a STEM field required; Master's preferred
  • 3-5 years of experience delivering ML solutions at scale
  • Proficiency in Python and machine learning model development
  • Experience with structured and unstructured data at scale
  • Familiarity with AWS services and large language models

Responsibilities

  • Design, develop, and maintain ML models and data integrations
  • Connect large language models to real data for accurate AI reasoning
  • Oversee the ML lifecycle from data preparation to monitoring
  • Architect scalable ML infrastructure using AWS services
  • Structure data using ontologies or knowledge graphs to enhance AI systems

Benefits

  • Paid time off (PTO) for work-life balance
  • Comprehensive health, dental, and vision insurance
  • Company-paid life insurance and disability coverage
  • 401k contribution support
  • Opportunities for tailored learning and professional development
Full Job Description
We9re 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 you9re passionate about applied ML, AI tooling, and turning complex data into systems the business can actually use.

We9re seeking ML engineering professionals with:
  • Bachelor9s degree required, preferably in a STEM field; Master9s 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 You9ll 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 Zotec9s 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, you will enjoy a network of highly experienced professionals in an environment where you can operate with autonomy yet have the resources and backing of other professionals in a similar role. Entrepreneurial and enterprising is the spirit of our team. If you are an original thinker and opportunity seeker, we9d like to talk to you!

Learn more about our organization, by visiting us at www.zotecpartners.com

About Zotec Partners

Zotec Partners is a healthcare technology and services company that provides revenue cycle management solutions to medical practices. The company's services include medical billing, coding, and practice management. Zotec Partners was founded in 1998 and is headquartered in Carmel, Indiana.
Learn more about Zotec Partners
Size
1,000 employees
Industry

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