Overview
Remote
On Site
$40 - $50 hourly
Contract - W2
Contract - Temp
Skills
Dashboard
Business Operations
Pricing
Machine Learning Operations (ML Ops)
Google Cloud Platform
Google Cloud
FOCUS
Cloud Computing
Vertex
API
GitHub
Machine Learning (ML)
Software Engineering
Artificial Intelligence
Messaging
Job Details
RESPONSIBILITIES:
Kforce has a client that is seeking a remote MLOps Engineer to join their team.
Overview:
This individual will be focusing on certain aspects, supporting an application that gathers data to then display for associates on a dashboard to help with business operations/recommendations. The team has been building out predictive models that integrate into the application, to help project pricing along with models to calculate changes, recommendations, discounts and more. They would like the individual to support the infrastructure, pipelines, and platform to produce these models.
REQUIREMENTS:
* 3+ years of MLOps experience
* Heavy experience with cloud (Google Cloud Platform)
* The individual will need to have strong coding with a focus on pipelines and cloud, but will also be strong in BigQuery, vertex.AI, Fast API, GitHub, and others
* Expertise in Machine Learning
* Strong software engineering background
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.
Kforce has a client that is seeking a remote MLOps Engineer to join their team.
Overview:
This individual will be focusing on certain aspects, supporting an application that gathers data to then display for associates on a dashboard to help with business operations/recommendations. The team has been building out predictive models that integrate into the application, to help project pricing along with models to calculate changes, recommendations, discounts and more. They would like the individual to support the infrastructure, pipelines, and platform to produce these models.
REQUIREMENTS:
* 3+ years of MLOps experience
* Heavy experience with cloud (Google Cloud Platform)
* The individual will need to have strong coding with a focus on pipelines and cloud, but will also be strong in BigQuery, vertex.AI, Fast API, GitHub, and others
* Expertise in Machine Learning
* Strong software engineering background
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.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.