Semantic Data Modeling Engineer Jobs

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1d ago

Senior Machine Learning Engineer

Zotec Partners Carmel, IN

Carmel, IN

1d ago

Full time Ai Ml Artificial Intelligence AWS

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Job Description

Zotec Partners offers a Senior Machine Learning Engineer role based in Carmel, IN (onsite), focused on building and extending machine learning and AI systems that support governed access to data and AI tooling. You will design, ship, and improve models while creating AWS-based infrastructure to connect large language models to Zotec data. The work also includes defining safe and accurate AI reasoning over that data, with a strong emphasis on quality standards, compliance, and security.

What you’ll do

Design, develop, and maintain the ML models and data integrations that power AI-driven products and internal tools
Build and maintain tools that connect large language models to real data so AI systems can query and reason over Zotec data accurately and safely
Own the ML lifecycle from problem framing and data preparation through training, evaluation, deployment, and ongoing monitoring
Architect scalable, cost-aware ML infrastructure on AWS using services such as SageMaker, Bedrock, and Lambda
Improve retrieval and data quality using knowledge representation approaches such as ontology, taxonomy, or knowledge-graph thinking

What you bring

Bachelor’s degree required (preferably in a STEM field); Master’s degree preferred
3-5 years delivering ML solutions at scale
Proficiency in Python, and in ML model development, training, and evaluation
Experience working with structured and unstructured data at scale
System design experience for data and ML 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
Experience with DevOps practices such as CI/CD pipelines and infrastructure as code (IaC)
Experience deploying and monitoring ML models in production on AWS
Ability to apply knowledge representation to improve retrieval or reasoning
Experience instrumenting models and pipelines for observability and performance monitoring
Clear communication 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
Commitment to clean, maintainable code and mentoring through code reviews, documentation, and collaboration
Understanding of healthcare-relevant quality and compliance and security, with general knowledge of standards such as 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
Experience following development methodologies including Scrum and Kanban

Technologies you’ll work with

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

Benefits

Paid time off (PTO) to balance 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

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