Kforce Inc
Responsibilities
Kforce has a client in Charlotte, NC that is seeking a Junior ML Ops Engineer. Summary: We're seeking an experienced MLOps Engineer with a primary focus on cloud automation, CI/CD, and machine learning deployment pipelines. This is not a data science or ML engineering role-we need someone rooted in MLOps and infrastructure automation, with a strong track record of supporting model operationalization at scale. Junior ML Ops Engineer work closely with data scientists to deploy ML models, manage infrastructure as code, and streamline end-to-end workflows using AWS and GitHub Actions.
Build and optimize CI/CD pipelines to deploy ML models to production environments
Own infrastructure automation using Terraform and AWS services
Automate ML model deployment workflows using Python and shell scripting
Collaborate with data scientists to streamline model training and inference workflows
Manage containerized deployments using ECS, EKS, and Lambda
Implement workflow orchestration with AWS Step Functions and Glue
Drive MLOps best practices and ensure compliance with Agile SDLC processes
Requirements
Strong Python skills for scripting, automation, and debugging ML deployment pipelines
Strong AWS expertise: SageMaker, Glue, Lambda, ECS, EKS, IAM, Step Functions
Hands-on experience with Terraform for infrastructure as code
Proven skill in GitHub and GitHub Actions for workflow automation
Python proficiency for scripting, debugging, and automation
Solid background in shell scripting for deployment and maintenance tasks
Demonstrated success supporting ML model deployment in production
Senior-level candidates: experience taking ownership of MLOps solution design and troubleshooting
Compensation 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.
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 until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Benefits 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.
Equal Opportunity Statement 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.
Application Process 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.
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Build and optimize CI/CD pipelines to deploy ML models to production environments
Own infrastructure automation using Terraform and AWS services
Automate ML model deployment workflows using Python and shell scripting
Collaborate with data scientists to streamline model training and inference workflows
Manage containerized deployments using ECS, EKS, and Lambda
Implement workflow orchestration with AWS Step Functions and Glue
Drive MLOps best practices and ensure compliance with Agile SDLC processes
Requirements
Strong Python skills for scripting, automation, and debugging ML deployment pipelines
Strong AWS expertise: SageMaker, Glue, Lambda, ECS, EKS, IAM, Step Functions
Hands-on experience with Terraform for infrastructure as code
Proven skill in GitHub and GitHub Actions for workflow automation
Python proficiency for scripting, debugging, and automation
Solid background in shell scripting for deployment and maintenance tasks
Demonstrated success supporting ML model deployment in production
Senior-level candidates: experience taking ownership of MLOps solution design and troubleshooting
Compensation 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.
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 until paid and may be modified in its discretion consistent with the law.
This job is not eligible for bonuses, incentives or commissions.
Benefits 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.
Equal Opportunity Statement 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.
Application Process 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.
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