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Senior MLOps Engineer

  • Remote, United States

$35 to $47 USD / hour

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Job details

Pay
$35 to $47 USD / hour
Posting language
English
Posted

Original job description

Kforce has a client seeking a remote Senior MLOps Engineer to join their team.

Summary:

We are looking for an AI-forward engineer with strong MLOps and model-serving experience. This person will be within the online organization, but supporting other data scientist's models and deployment to the search, retrieval and ranking. This team consists of backend engineers focused on Java/Micronaut, Python/fast API, for translation of data, along with performing a combination of data engineering and platform/MLOps work to support the ML models. For the day to day, this person will mostly own model serving and the pipelines and will work closely with data science partners.

Key Tasks:

  • Owning production ML model serving for search
  • Automating model training and refresh pipelines on Airflow/Cloud Composer, with monitoring and alerts
  • Load testing, latency tuning and capacity planning for high-traffic services
  • 5+ years of software engineering, with at least 2-3 years deploying and operating ML models in production
  • Python (FastAPI) and Java (Spring Boot or Micronaut)
  • GCP: Vertex AI, GKE/Kubernetes, BigQuery, Dataflow
  • Model serving: Triton Inference Server, including model versioning and rollout
  • MLOps: CI/CD for models, Airflow, feature stores, and monitoring model health and drift

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.

By clicking “Apply Today” you agree to receive calls, AI-generated calls, text messages or emails from Kforce and its affiliates, and service providers. Note that if you choose to communicate with Kforce via text messaging the frequency may vary, and message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You will always have the right to cease communicating via text by using key words such as STOP.

More about this job

Skills

  • Oracle Java
  • Python
  • Data engineering
  • ML
  • Apache Airflow
  • Spring Boot
  • Google Cloud
  • Kubernetes
  • BigQuery
  • CI/CD

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