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Sr. Machine Learning Engineer (ML/AI)

Jobgether
United States only

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This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr. Machine Learning Engineer (ML/AI) in the United States.

We are seeking a highly skilled Senior Machine Learning Engineer to design, build, and deploy ML and generative AI solutions that have a meaningful impact across the organization. This role involves developing scalable tooling, production services, and infrastructure to support the full AI/ML lifecycle, from model training to deployment and monitoring. You will collaborate closely with cross-functional teams including data scientists, analysts, product managers, and engineers while mentoring junior team members. The ideal candidate thrives in fast-paced environments, enjoys problem-solving, and has a strong passion for creating AI-driven products that drive measurable business outcomes. This position offers the flexibility to work hybrid or fully remote within the U.S.

Accountabilities:

  • Build and maintain tools and services that power ML and generative AI solutions in production.
  • Develop training, inference, and evaluation platforms with robust testing frameworks and metrics.
  • Deploy and manage applications supporting the AI/ML software development lifecycle (SDLC).
  • Implement and maintain APIs, vector databases, and containerized deployments (Docker/Kubernetes).
  • Collaborate with cross-functional teams to integrate ML/AI solutions into business workflows.
  • Mentor and guide other engineers, promoting best practices and knowledge sharing.
  • Write high-quality, maintainable code while balancing quality and delivery in fast-paced projects.

Requirements

  • 6+ years of experience deploying ML/AI solutions in production environments.
  • Strong proficiency in Python and experience building RESTful APIs.
  • Experience with Docker, Kubernetes, relational and low-latency databases, and Celery.
  • Familiarity with Protobuf message definitions.
  • Proven ability to work on ML/AI products from scratch and iteratively improve systems.
  • Excellent communication, organizational, and problem-solving skills, with the ability to align teams and priorities.
  • Enthusiasm for learning new technologies and taking ownership of cross-functional projects.

Preferred Qualifications:

  • Experience with retrieval-augmented generation (RAG) solutions.
  • Hands-on experience with vector databases and cloud infrastructure (especially AWS).
  • Production coding experience in Java or Kotlin.
  • Background in working with highly sensitive data, preferably in healthcare environments.

Benefits

  • Competitive salary and potential bonuses (dependent on experience).
  • Flexible work arrangements: hybrid or fully remote within the U.S.
  • Opportunities for professional growth, mentorship, and cross-functional collaboration.
  • Health, dental, and vision insurance.
  • Generous paid time off and parental leave policies.
  • Access to learning resources and skill development programs.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
📊 It compares your profile to the job’s core requirements and past success factors to determine your match score.
🎯 Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role.
Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest!

About the job

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Posted on

Job type

Full Time

Experience level

Senior

Location requirements

Hiring timezones

United States +/- 0 hours
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