200+ applicantsPosted by Agency

Company

Kforce Inc · 10 hours ago

DevOps / ML Engineer

Phoenix, AZ

Contract

Remote

Senior Level

5+ years exp

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Responsibilities

Leads the development and implementation of ML pipelines, including data preprocessing, model training, and deployment workflows

The Engineer designs and maintains scalable infrastructure for ML model experimentation and testing

Develops and optimizes automated CI/CD pipelines for the applications, services, models, and prompts

Implements robust monitoring and logging systems in production, ensuring performance, accuracy, and data drift detection

Collaborates with data scientists to streamline the process of moving ML models from experimentation to production environments

Designs and implements strategies for model versioning, A/B testing, and deployments of ML models and prompts

Develops solutions for efficient data management, including data versioning, feature stores, and data lineage tracking

Works cross-functionally with data science, software engineering, and operations teams to integrate ML workflows into existing systems and processes

The Engineer leverages cloud technologies and MLOps tools to enhance the scalability and efficiency of ML operations

Implements best practices for ML model governance, including model explainability and fairness considerations

Performs other job-related duties as assigned or apparent

Qualification

Find out how your skills align with this job's requirements. If anything seems off, you can easily click on the tags to select or unselect skills to reflect your actual expertise.

MLOpsAmazon Web ServicesPythonTerraformCloudFormationMLFlowDockerGitHubCI/CDGitHub ActionsNode.jsLinuxYAMLSQLNoSQLData processingData storageMonitoring toolsLogging toolsA/B testing

Required

Bachelor's degree in IT or related field

5+ years of experience in a MLOps Engineer role and Amazon Web Services including previous experience in creating environments using infrastructure as code for mission critical applications

Experience with Agile scrum software development methodologies

Experience in all aspects of the software development lifecycle: design, functional and technical requirements, coding, debugging, testing, release, and operational support

Significant experience in tools like: Terraform or CloudFormation and Amazon Web Services (Lambda, ApiGateway, IAM, Sagemaker, Bedrock, DynamoDB), MLFlow, Docker, Serverless framework, GitHub, GitHub Actions, Terraform Cloud, bash, Linux, YAML, Python or Node.js

Strong understanding of machine learning concepts and algorithms, as well as proficiency in programming languages such as Python

Experience with the AWS cloud platforms along with knowledge of version control systems, CI/CD pipelines, and infrastructure-as-code practices

Familiar with data processing and storage technologies, including both SQL and NoSQL databases

Understanding of monitoring and logging tools is crucial for maintaining and optimizing ML models in production

Experience with model experimentation platforms, model deployment, scaling, and A/B testing

Strong problem-solving skills and the ability to collaborate effectively with data scientists, software engineers, and other stakeholders are vital for success in this role

Benefits

Medical/dental/vision insurance

HSA

FSA

401(k)

Life, disability & ADD insurance

Company

Kforce Inc

Glassdoor

3.8

Kforce is a solutions firm specializing in technology and other professional staffing services.

Founded in 1962

Tampa, Florida, USA

1,001-5,000 employees

http://www.kforce.com

H1B Sponsorship

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2021 (1207)

2020 (914)