MLops Engineer
Responsibilities
Kforce has a client seeking a fully remote MLops Engineer to join their team. From an ML standpoint, this is a brand new team. The MLops Engineer will also be doing some java/API work with PCF Migration to GCP/GKE. This will be a hybrid role focusing on backend java, quarkus, GCP along with ML and python (some pure ML and MLops). Responsibilities:
• Work on failure detection models to analyze and resolve issues in post-sale operations
• Collaborate closely with Data Scientists to integrate models into production
• Hands-on development in Java, JKE, Cassandra
• Hands-on experience in Machine Learning and MLOps
• Support PCF to GKE migration
• Transition applications from Spring Boot to Quarkus
• Deploy solutions on GCP
Requirements
• Open to a mid or senior experience
• Strong problem-solver and excited to learn
• To be considered for this position, candidates must have experience in a similar role, or they must possess significant knowledge, experience, and abilities to successfully perform the responsibilities listed
• Relevant education and/or training will be considered a plus
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.
Responsibilities
Kforce has a client seeking a fully remote MLops Engineer to join their team. From an ML standpoint, this is a brand new team. The MLops Engineer will also be doing some java/API work with PCF Migration to GCP/GKE. This will be a hybrid role focusing on backend java, quarkus, GCP along with ML and python (some pure ML and MLops). Responsibilities:
• Work on failure detection models to analyze and resolve issues in post-sale operations
• Collaborate closely with Data Scientists to integrate models into production
• Hands-on development in Java, JKE, Cassandra
• Hands-on experience in Machine Learning and MLOps
• Support PCF to GKE migration
• Transition applications from Spring Boot to Quarkus
• Deploy solutions on GCP
Requirements
• Open to a mid or senior experience
• Strong problem-solver and excited to learn
• To be considered for this position, candidates must have experience in a similar role, or they must possess significant knowledge, experience, and abilities to successfully perform the responsibilities listed
• Relevant education and/or training will be considered a plus
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.
