Lead ML Engineer: Architect & Scale Agentic AI Systems

Themesoft Inc.

Newark (NJ)

On-site

USD 150,000 - 230,000

Full time

14 days+

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Job summary

The Lead, Machine Learning Engineer at Themesoft Inc. will drive the engineering of Agentic AI systems, working with Data Scientists, Data Engineers, Data Analysts and DevSecOps to deliver scalable, production-ready ML models and AI solutions.

You will guide architecture, governance, and deployment at scale, while promoting agile practices and teamwork. You will coach and collaborate across teams, addressing complex problems with strong problem-solving and communication skills, leveraging

Qualifications

  • Bachelor's degree in Computer Science or Engineering or related field.
  • Ability to coach team members with minimal guidance and contribute diverse ideas.
  • Experience with agile development methodologies and SDD (Specification-Driven Development).
  • Familiarity with business concepts and decision-making in a corporate context.
  • Strong problem-solving, communication and collaboration skills.

Responsibilities

  • Architect, design and deploy ML models and Agentic AI systems to solve real-world business problems.
  • Collaborate with Product and Data Science teams; remove complex technical impediments.
  • Develop scalable ML solutions using cloud-based architectures and CI/CD practices.

Skills

Python
C++
SQL
Agile
Leadership
Data modeling
ML algorithms

Education

Bachelor of Computer Science or Engineering

Tools

GitHub Actions
Jenkins
CloudBees

Job description

The Lead, Machine Learning Engineer at Themesoft Inc. will drive the engineering of Agentic AI systems, working with Data Scientists, Data Engineers, Data Analysts and DevSecOps to deliver scalable, production-ready ML models and AI solutions.

You will guide architecture, governance, and deployment at scale, while promoting agile practices and teamwork. You will coach and collaborate across teams, addressing complex problems with strong problem-solving and communication skills, leveraging

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