Senior AI Machine Learning Engineer
Job in
Danbury, Fairfield County, Connecticut, 06813, USA
Listed on 2026-07-13
Listing for:
Jobtailor
Full Time
position Listed on 2026-07-13
Job specializations:
-
IT/Tech
AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Data Engineering
Job Description & How to Apply Below
- Research, experiment with, and implement suitable Generative and ML algorithms, tools and technologies.
- Participate in identifying and assessing opportunities i.e. value of new data sources and analytical techniques and technology, to ensure ongoing competitive advantage.
- Review work with leadership and partners on an ongoing basis to calibrate deliverables against expectations.
- Accountable for deployment design, development and maintenance of both traditional ML and AI models.
- Work with junior engineers and peers to provide mentorship and thought leadership.
- Be comfortable presenting new concepts to technical audiences.
- Collaborate with partners Enterprise Data, Applied AI, Business, Cloud Enablement Team, and Enterprise Architecture teams.
- Delivery of critical milestones for model deployment in the AWS and GCP clouds.
- Adopt and promote MLOps best practices to the Data Science community.
- Must be authorized to work in the U.S. now and in the future.
- Master’s degree in related field or 5+ years of equivalent experience in a research or Dev Ops function.
- Development experience developing solutions within AWS, GCP or both.
- Experience developing repeatable architectural patterns; ability to identify redundancies and eliminate them with these patterns.
- Experience building and deploying API services within the Cloud.
- Experience building CICD pipeline using Jenkins or equivalent.
- Experience with IAC (Infrastructure as Code) including Cloud Formation, Terraform, or equivalents.
- Experience in Unix, git, and strong object oriented development experience using Python.
- Experience in end to end model development lifecycle, from ideation through post production monitoring.
- Experience with workflow automation platforms (Apache Airflow, Autosys, similar).
- Basic understanding of Data Science model development life cycle.
- Familiarity with emerging data centric technologies such generative AI, Agentic workflows, and embedding LLM’s into automated processes.
Position Requirements
10+ Years
work experience
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