Sr. Machine Learning Engineer (ML/AI)

Jobgether

106d

About The Position

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.

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.

Nice To Haves

• 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.

Responsibilities

• 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.

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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Number of Employees: 11-50 employees