Overview
Remote
On Site
$65 - $75 hourly
Contract - W2
Contract - Temp
Skills
Scalability
High Availability
Data Science
Workflow
Specification Gathering
FOCUS
Machine Learning Operations (ML Ops)
Jupyter
Docker
Python
Cloud Computing
Microsoft Azure
Google Cloud Platform
Google Cloud
Kubernetes
Partner Relationship Management
Communication
Collaboration
Documentation
Machine Learning (ML)
Management
Conflict Resolution
Problem Solving
Organizational Skills
Continuous Integration
Continuous Delivery
Artificial Intelligence
Messaging
Job Details
RESPONSIBILITIES:
Kforce has a client in Cincinnati, OH that is seeking a MLOps Engineer - Level 2 who will be responsible for developing, deploying, and maintaining machine learning models and infrastructure. This role requires collaboration with various teams, including data science, engineering, and operations, to support and enhance our machine learning capabilities.
Key Responsibilities:
* Develop, deploy, and maintain machine learning models ensuring their reliability, performance, and scalability
* Develop, deploy, and maintain machine learning tools
* Automate ML workflows
* Monitor model performance and troubleshoot issues to ensure high availability and performance
* Collaborate with data science, engineering, and operations teams to support and enhance the machine learning infrastructure
* Implement and maintain security best practices for ML systems
* Develop and maintain documentation for ML workflows, procedures, and processes
* Manage infrastructure risk, develop mitigation plans, and escalate decisions and unresolved issues daily
* Work with peers to develop and drive goals, define technical specifications, and detailed implementation plans for ML projects
* Effectively apply skills to impact ML infrastructure decisions
* Focus on the benefits to be realized and the outcomes to be achieved
REQUIREMENTS:
* Self-starter with a "learn and apply" attitude in an intense, fast-paced environment
* Experience working with leading stakeholder groups, including technical, product, business, and vendor teams
* Experience with ML Ops/AI tools and frameworks such as: Jupyter, Nvidia Global Catalog (NGC), MLFlow, and RunAI
* Experience with Docker, Slurm, Python, Conda
* Experience with cloud platforms such as Azure, or Google Cloud highly desired
* Kubernetes experience highly desired
* PyTorch/torchrun/TorchX experience highly desired
* 3rd-party partner management experience
* Excellent communication, collaboration, and documentation skills
* Proven track record of deploying and maintaining machine learning models in production
* Ability to anticipate and manage infrastructure risks and issues with full transparency
* Confident, solution-oriented independent worker
* Must work independently while managing different sets of business, technology, and vendor stakeholders
* Proven problem-solving and organizational skills
* Experience with CI/CD pipelines and automation tools
* Local to Cincinnati region will be given preference
* Some travel to the Blue Ash Technical center may be required during critical deployments
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 in Cincinnati, OH that is seeking a MLOps Engineer - Level 2 who will be responsible for developing, deploying, and maintaining machine learning models and infrastructure. This role requires collaboration with various teams, including data science, engineering, and operations, to support and enhance our machine learning capabilities.
Key Responsibilities:
* Develop, deploy, and maintain machine learning models ensuring their reliability, performance, and scalability
* Develop, deploy, and maintain machine learning tools
* Automate ML workflows
* Monitor model performance and troubleshoot issues to ensure high availability and performance
* Collaborate with data science, engineering, and operations teams to support and enhance the machine learning infrastructure
* Implement and maintain security best practices for ML systems
* Develop and maintain documentation for ML workflows, procedures, and processes
* Manage infrastructure risk, develop mitigation plans, and escalate decisions and unresolved issues daily
* Work with peers to develop and drive goals, define technical specifications, and detailed implementation plans for ML projects
* Effectively apply skills to impact ML infrastructure decisions
* Focus on the benefits to be realized and the outcomes to be achieved
REQUIREMENTS:
* Self-starter with a "learn and apply" attitude in an intense, fast-paced environment
* Experience working with leading stakeholder groups, including technical, product, business, and vendor teams
* Experience with ML Ops/AI tools and frameworks such as: Jupyter, Nvidia Global Catalog (NGC), MLFlow, and RunAI
* Experience with Docker, Slurm, Python, Conda
* Experience with cloud platforms such as Azure, or Google Cloud highly desired
* Kubernetes experience highly desired
* PyTorch/torchrun/TorchX experience highly desired
* 3rd-party partner management experience
* Excellent communication, collaboration, and documentation skills
* Proven track record of deploying and maintaining machine learning models in production
* Ability to anticipate and manage infrastructure risks and issues with full transparency
* Confident, solution-oriented independent worker
* Must work independently while managing different sets of business, technology, and vendor stakeholders
* Proven problem-solving and organizational skills
* Experience with CI/CD pipelines and automation tools
* Local to Cincinnati region will be given preference
* Some travel to the Blue Ash Technical center may be required during critical deployments
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.