Back to previous page
Machine Learning Engineer
Artificial Intelligence
Minneapolis, Minnesota, 55402
Contract
Ref.: 141858
Job Summary
Our client is seeking multiple Machine Learning Engineers to support enterprise AI/ML initiatives focused on model development, operational support, and cloud-based machine learning delivery efforts. These fully remote positions will support the design, development, deployment, scaling, and maintenance of machine learning solutions supporting both business-as-usual operations and strategic AI programs. Candidates should have experience working within Azure environments and supporting machine learning workflows in collaborative engineering teams.
Core Responsibilities
Junior Machine Learning Engineer
At KellyMitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.
Marketing Disclosure
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at https://www.careers.kellymitchell.com/privacy-policy
Our client is seeking multiple Machine Learning Engineers to support enterprise AI/ML initiatives focused on model development, operational support, and cloud-based machine learning delivery efforts. These fully remote positions will support the design, development, deployment, scaling, and maintenance of machine learning solutions supporting both business-as-usual operations and strategic AI programs. Candidates should have experience working within Azure environments and supporting machine learning workflows in collaborative engineering teams.
Core Responsibilities
Junior Machine Learning Engineer
- Assist in the design, development, and maintenance of AI/ML platform and MLOps infrastructure supporting deployment, management, and monitoring of ML models, LLMs, and AI-driven services
- Collaborate with data scientists, ML engineers, and software engineers to integrate AI and machine learning capabilities into production applications
- Support and maintain automated workflows and pipelines for model training, inference, evaluation, retraining, deployment, and monitoring
- Troubleshoot and help resolve issues across models, data pipelines, inference services, and supporting infrastructure
- Help ensure scalability, security, cost controls, and observability across ML and AI workloads
- Contribute to process and operational documentation and stay current on MLOps, LLMOps, and AI platform operations best practices
- Support CI/CD processes and deployment workflows using GitHub
- Build and maintain ML workflows within Databricks environments
- Utilize Azure AI Foundry and Azure AI services to support model lifecycle activities
- Assist with document processing and extraction workflows using Azure Document Intelligence
- Participate in troubleshooting, model validation, testing, and optimization activities
- Lead the design and implementation of AI/ML platform and MLOps infrastructure
- Collaborate cross-functionally to integrate AI and machine learning capabilities into production systems
- Implement and enforce best practices across MLOps and LLMOps, including model and prompt lifecycle management
- Design and operate reliable inference and orchestration patterns for AI systems supporting batch, real-time, and event-driven workloads
- Troubleshoot and resolve complex issues across models, AI services, data pipelines, and infrastructure
- Create and maintain technical and operational documentation
- Support escalations and mentor junior engineers
- Evaluate emerging AI platform technologies, tools, and frameworks aligned with business needs and platform strategy
- Build, scale, and deploy machine learning models for enterprise document extraction use cases
- 2+ years of experience for Junior candidates and 5+ years for Senior candidates in Machine Learning Engineering, Data Engineering, or AI-focused development
- Experience working within Microsoft Azure environments
- Strong proficiency in Python with experience using object-oriented programming patterns
- Experience working across multiple programming languages such as Python, JavaScript, TypeScript, or .NET
- Hands-on experience supporting AI/ML platforms, including deployment and operation of ML models and LLM-based services
- Working knowledge of MLOps, LLMOps, and AIOps practices
- Experience implementing or maintaining CI/CD pipelines for ML and AI workloads
- Experience with GitHub and CI/CD processes
- Experience building and maintaining ML workflows within Databricks
- Familiarity with Azure AI Foundry (Azure AI Studio) and Azure Document Intelligence
- Understanding of machine learning model development and deployment concepts
- Experience with data pipelines, transformations, and performance monitoring
- Strong analytical and problem-solving skills
- Ability to work collaboratively within Agile teams
- Experience supporting enterprise-scale AI/ML deployment initiatives
- Experience with document extraction and form processing workflows
- Experience deploying scalable ML solutions in cloud-native environments
- Familiarity with monitoring for model drift, latency, and operational failures
- Experience supporting prompt-based and API-driven AI systems
- Experience with governance, feature management, and model versioning practices
- Experience with real-time and event-driven AI workloads
- Exposure to infrastructure automation and orchestration patterns
- Experience mentoring junior engineers or leading technical initiatives
- Strong communication and collaboration skills
- Ability to troubleshoot and solve complex technical problems
- Strong attention to detail and operational excellence
- Ability to work effectively in fast-paced Agile environments
- Commitment to scalability, security, and reliability best practices
- Ability to learn and adapt to emerging AI/ML technologies
- Strong documentation and organizational skills
- Mentorship mindset and willingness to support team development
- Location: Remote- Must be US BASED
- Pay Range: The approximate pay range for this position is between $50 and 92 per hour. Please note that the pay range provided is a good faith estimate. Final compensation may vary based on factors including but not limited to background, knowledge, skills, and location. We comply with local wage minimums.
- Medical, Dental, & Vision Insurance Plans
- Employee-Owned Profit Sharing (ESOP)
- 401K offered
At KellyMitchell, our culture is world class. We’re movers and shakers! We don’t mind a bit of friendly competition, and we reward hard work with unlimited potential for growth. This is an exciting opportunity to join a company known for innovative solutions and unsurpassed customer service. We're passionate about helping companies solve their biggest IT staffing & project solutions challenges. As an employee-owned, women-led organization serving Fortune 500 companies nationwide, we deliver expert service at a moment's notice.
Marketing Disclosure
By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from KellyMitchell and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at https://www.careers.kellymitchell.com/privacy-policy
