Senior ML Engineer — AI Tools & Data Pipelines

Zotec Partners; Town of Carmel (NY); On-site; USD 130,000 - 190,000; Full time

Benefits offered by this job

PTO

Health insurance

Dental & vision insurance

Life insurance, AD&D, disability

401(k) matching

Volunteer program & gift matching

Professional development

Job summary

Zotec Partners is looking for a Senior ML Engineer to build and extend ML/AI systems that provide governed access to data and tooling. You will design and ship models, create ML data pipelines, and connect large language models to real Zotec data, helping define safe and accurate AI reasoning.

The role requires 3–5 years of ML experience, strong Python skills, and hands-on work with AWS SageMaker, Bedrock, Lambda, and Redshift.

Qualifications

• Bachelor's degree in a STEM field required; Master’s preferred.
• 3–5 years delivering ML solutions at scale.
• Proficiency in Python and ML model development, training, and evaluation.
• Experience with structured and unstructured data at scale; data and ML pipelines.
• Familiarity with AWS services (SageMaker, Bedrock, Lambda, Redshift) and LLMs.
• Knowledge of ontologies, knowledge graphs, and data modeling.

Responsibilities

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

Skills

Python

ML model development

Data pipelines

Structured data handling

System design

CI/CD

Education

Bachelor's degree

Master's degree (preferred)

Tools

AWS SageMaker

Bedrock

Lambda

Redshift

Claude / LLMs

Job description

Zotec Partners is looking for a Senior ML Engineer to build and extend ML/AI systems that provide governed access to data and tooling. You will design and ship models, create ML data pipelines, and connect large language models to real Zotec data, helping define safe and accurate AI reasoning.

The role requires 3–5 years of ML experience, strong Python skills, and hands-on work with AWS SageMaker, Bedrock, Lambda, and Redshift.