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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 design and extend governed ML and AI systems for accurate, safe access to data and AI tooling.

Responsibilities

Design, develop, and maintain ML models and data integrations that power AI-driven products and internal tools
Connect large language models to real data by building and maintaining tools and integrations for AI systems to query and reason over Zotec data accurately and safely
Own the ML lifecycle: problem framing, data preparation, model training, evaluation, deployment, and monitoring
Architect AWS-based ML infrastructure that is scalable and cost-aware, 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)
3-5 years delivering machine learning solutions at scale
Proficiency in Python
Proficiency in ML model development, training, and evaluation
Proficiency working with structured and unstructured data at scale
Proficiency in system design for data and ML pipelines
Familiarity with AWS: 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 connecting large language models to real data sources
Experience deploying and monitoring ML models in production on AWS
Experience applying knowledge representation (ontologies, taxonomies, or graphs) to improve retrieval or reasoning
Experience instrumenting models and pipelines for observability and performance monitoring
Clear, effective communication with cross-functional teams including Data Engineers, Data Scientists, Business Analysts, and other engineers
Ability to balance technical depth with practical problem-solving (performance, scalability, accuracy tradeoffs)
Commitment to clean, maintainable code and mentoring through code reviews, documentation, and collaboration
Enjoy collaborating closely with a supportive team to tackle complex technical challenges from start to finish
Understanding of quality standards, processes, compliance, and security in the healthcare industry, with general knowledge of standards such as HIPAA or PCI
Experience expanding LLM application patterns using retrieval-augmented generation, prompt engineering, and evaluation frameworks
Experience utilizing knowledge graphs and semantic data modeling to improve data retrieval and reasoning
Ability to follow development methodologies including Scrum and Kanban

Technologies

Python
Machine learning
AWS
SageMaker
Bedrock
Lambda
Redshift
Claude
Large language models
Ontology
Knowledge graphs
Structured data modeling
CI/CD pipelines
Infrastructure as code (IaC)
Scrum
Kanban
Retrieval-augmented generation
Prompt engineering
Evaluation frameworks
Semantic data modeling
HIPAA
PCI

Benefits

Paid time off (PTO)
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

Additional Ways You Can Contribute

Expand usage of LLM application patterns, including retrieval-augmented generation, prompt engineering, and evaluation frameworks
Use knowledge graphs and semantic data modeling to further improve data retrieval and reasoning
Follow development methodologies including Scrum and Kanban

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