Senior Machine Learning Engineer

zotecpartners

Carmel (IN)

On-site

USD 140,000 - 190,000

Full time

11 days ago
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Benefits offered by this job

PTO
Health/Dental/Vision
Life insurance & AD&D
Disability insurance
401k
Volunteerism & matching
Learning & development

Job summary

Zotec Partners in Carmel, IN seeks a Senior ML Engineer to build and scale ML and AI systems. You will design and ship models, connect LLMs to real data, and define safe, accountable AI tooling for the business.

You have a Bachelor’s in a STEM field, 3–5 years delivering ML at scale, and deep experience with Python, AWS (SageMaker, Bedrock, Lambda, Redshift), ML pipelines, and knowledge graphs. You’ll mentor teammates, review code, and help shape our AI roadmap.

Qualifications

  • Bachelor's degree in a STEM field required, Master’s preferred.
  • 3–5 years delivering ML solutions at scale.
  • Proficiency in Python, ML model development, training and evaluation.
  • Experience with structured and unstructured data at scale; ML pipelines.
  • Familiarity with AWS (SageMaker, Bedrock, Lambda, Redshift); Claude and other LLMs.
  • Knowledge representation (ontologies, taxonomies, graphs) to improve retrieval/ reasoning.
  • DevOps practices, CI/CD, IaC; ML tools integrations; production deployment.

Responsibilities

  • Design, develop, and maintain ML models and data integrations powering AI products and internal tools.
  • Connect LLMs to real data via tools and integrations for accurate, safe reasoning.
  • Own the ML lifecycle from problem framing to deployment and monitoring.
  • Architect scalable, cost-aware ML infra on AWS (SageMaker, Bedrock, Lambda).
  • Apply ontology/knowledge-graph thinking to improve data quality and retrieval.

Skills

Python
ML model development
Data pipelines
AWS services
MLOps/CI/CD
Knowledge graphs
Model deployment
Observability
Communication

Education

Bachelor's degree in STEM
Master's degree preferred

Tools

SageMaker
Bedrock
Lambda
Redshift
Claude

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, 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, we’d like to talk to you!

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

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