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Senior Machine Learning Engineer

Zotec Partners Carmel, IN

Carmel, IN

Today

Full time Ai Ml Artificial Intelligence AWS

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Job Description

Zotec Partners is seeking a Senior Machine Learning Engineer to build and extend machine learning and AI systems that enable governed access to data and AI tooling. This onsite role in Carmel, IN focuses on shipping models, connecting large language models to Zotec data, and improving safe and accurate AI reasoning over that information.

Responsibilities

Design, develop, and maintain machine learning models and data integrations that support AI-driven products and internal tools
Connect large language models to real data by building and maintaining tools and integrations that enable accurate and safe querying and reasoning over Zotec data
Own the machine learning lifecycle, including problem framing, data preparation, training, evaluation, deployment, and monitoring
Architect scalable, cost-aware machine learning infrastructure on AWS using services such as SageMaker, Bedrock, and Lambda
Apply ontology, taxonomy, or knowledge-graph thinking to improve retrieval, reasoning, or data quality for AI systems

Requirements

Bachelor's degree required, preferably in a STEM field; Master's degree preferred
3 to 5 years delivering machine learning solutions at scale
Proficiency in Python
Proficiency in machine learning model development, training, and evaluation
Proficiency in working with structured and unstructured data at scale
Proficiency in system design for data and machine learning pipelines
Familiarity with AWS, including SageMaker, Bedrock, Lambda, and Redshift
Familiarity with Claude and other large language models
Familiarity with ontology, knowledge graphs, or structured data modeling
Familiarity with DevOps practices, including CI/CD pipelines and infrastructure as code (IaC)
Experience building and maintaining tools and integrations that connect large language models to real data sources
Experience deploying and monitoring machine learning models in production on AWS
Experience applying knowledge representation methods (ontologies, taxonomies, or graphs) to improve retrieval or reasoning
Experience instrumenting models and pipelines for observability and performance monitoring
Ability to communicate clearly with cross-functional teams, including Data Engineers, Data Scientists, Business Analysts, and other engineers
Comfort balancing technical depth with practical problem-solving across performance, scalability, and accuracy tradeoffs
Commitment to clean, maintainable code and mentoring through code reviews, documentation, and collaboration
Enjoyment of end-to-end collaboration with a supportive team on complex technical challenges
Understanding of quality standards, processes, compliance, and security as they relate to the healthcare industry, including general knowledge of HIPAA or PCI
Experience expanding LLM application patterns, including retrieval-augmented generation, prompt engineering, and evaluation frameworks
Experience using knowledge graphs and semantic data modeling to improve data retrieval and reasoning
Follows development methodologies including Scrum and Kanban

Technologies

Python
Machine learning
AWS, including SageMaker, Bedrock, Lambda, and Redshift
Claude and large language models
Ontology, knowledge graphs, structured data modeling, semantic data modeling
CI/CD pipelines and infrastructure as code (IaC)
Retrieval-augmented generation, prompt engineering, evaluation frameworks
HIPAA and PCI
Scrum and Kanban

Benefits

Paid time off (PTO) to support work-life balance
Health, dental, and vision insurance
Company paid life insurance, AD&D, and disability
401(k) contribution support
Zotec Effect program with volunteerism support and charitable gift matching
Tailored learning and professional development opportunities

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