MLOps Senior Engineer - Remote

Responsibilities
Kforce has a client seeking a Remote MLOps Senior Engineer to join their team. The MLOps Senior Engineer will support the development and operation of scalable machine learning solutions in a high-volume production environment. This role will focus on production model serving, ML pipeline automation, system performance, and the adoption of AI-assisted engineering practices. Key Responsibilities:
Design, deploy, and support production machine learning and model-serving solutions
Build and automate model training, deployment, and refresh pipelines using workflow orchestration and cloud technologies
Implement monitoring, alerting, testing, and operational controls for ML systems
Conduct load testing, performance tuning, and capacity planning for high-traffic services
Leverage AI coding assistants and agent-based tools to improve software development, testing, and operational workflows
Identify opportunities to use LLMs and AI automation to streamline model evaluation, monitoring, deployment validation, and other engineering processes
Requirements
5+ years of software engineering experience, with at least 2-3 years deploying and operating ML models in production
Python (FastAPI) and Java (Spring Boot or Micronaut) experience
GCP: Vertex AI, GKE/Kubernetes, BigQuery, Dataflow experience
Model serving: Triton Inference Server, including model versioning and rollout experience
MLOps: CI/CD for models, Airflow, feature stores, and monitoring model health and drift experience
The pay range is the lowest to highest compensation we reasonably in good faith believe we would pay at posting for this role. We may ultimately pay more or less than this range. Employee pay is based on factors like relevant education, qualifications, certifications, experience, skills, seniority, location, performance, union contract and business needs. This range may be modified in the future.
We offer comprehensive benefits including medical/dental/vision insurance, HSA, FSA, 401(k), and life, disability & ADD insurance to eligible employees. Salaried personnel receive paid time off. Hourly employees are not eligible for paid time off unless required by law. Hourly employees on a Service Contract Act project are eligible for paid sick leave.
Note: Pay is not considered compensation until it is earned, vested and determinable. The amount and availability of any compensation remains in Kforce's sole discretion unless and until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.
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Skills
Python, Java, Spring Boot, Spring, FastAPI, GCP, Kubernetes

Experience
5+ yrs

Work arrangement
Yes