IT Analyst V

Machine Learning Engineer (MLOps) | Remote | Contract-to-Hire

About the Opportunity

We are seeking a Machine Learning Engineer to help build and maintain the infrastructure, pipelines, and deployment processes that power AI and machine learning solutions in a healthcare technology environment. This is a contract-to-hire opportunity for candidates interested in long-term employment.

This role is ideal for someone who enjoys bridging the gap between software engineering, data engineering, and machine learning by building scalable, reliable, and secure production systems.

Responsibilities

MLOps & Model Deployment

• Build and maintain CI/CD pipelines for machine learning workflows
• Automate model testing, deployment, monitoring, and version control
• Deploy machine learning models as scalable APIs and microservices
• Monitor model performance, data drift, and system health in production environments
• Support reliable and stable AI operations in production

Data Engineering & Integration

• Develop and optimize ETL and data processing pipelines
• Transform complex datasets into clean, usable data for training and inference
• Support feature engineering and feature store development
• Ensure consistency between training and production environments
• Collaborate with engineering teams to integrate machine learning outputs into enterprise applications

Engineering Excellence

• Write clean, maintainable, and well-documented Python code
• Participate in code reviews and contribute to engineering best practices
• Utilize Docker and Kubernetes to package and deploy machine learning workloads
• Support secure deployment processes and compliance requirements
• Contribute to reliable, scalable, and highly available AI systems

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, or a related field
• 3-5 years of professional software engineering or data engineering experience
• Minimum 2 years of experience supporting machine learning solutions in production environments
• Strong Python development skills
• Familiarity with SQL and relational databases
• Experience with at least one major cloud platform such as Azure, AWS, or GCP
• Hands-on experience with Docker
• Experience building and maintaining data pipelines and ETL processes
• Experience deploying machine learning models into production environments
• Knowledge of machine learning frameworks such as PyTorch or Scikit-learn
• Experience with data processing technologies such as Pandas, Spark, or dbt

Preferred Qualifications

• Experience with MLflow, Airflow, Prefect, BentoML, Kubeflow, or similar MLOps tools
• Experience deploying and supporting Large Language Models (LLMs)
• Experience with LangChain, RAG architectures, or generative AI solutions
• Knowledge of Kubernetes
• Experience working in regulated industries such as healthcare or finance
• Familiarity with healthcare interoperability standards such as FHIR or HL7
• Experience designing APIs and microservices architectures

What We're Looking For

• Strong problem-solving and troubleshooting skills
• Passion for building reliable production AI systems
• Experience collaborating across engineering, data, and business teams
• Ability to thrive in a fast-paced environment while maintaining high quality standards
• Focus on scalability, automation, security, and operational excellence

Additional Details

• Contract-to-hire opportunity
• Candidates must be eligible for permanent employment without sponsorship constraints
• Full-time, 40 hours per week
• Remote work available
• Initial contract expected through February 2027 with long-term hiring intent

Keywords: ML Engineer, MLOps Engineer, Machine Learning Engineer, AI Engineer, Data Engineer, Python, Azure, AWS, GCP, Docker, Kubernetes, MLflow, Airflow, LangChain, LLM, Generative AI, Spark, ETL, Healthcare Data, FHIR, HL7, MLOps, Model Deployment.

If this is a role that interests you and you’d like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!

About ManpowerGroup, Parent Company of:  Manpower, Experis and Talent Solutions

Experis® is a global leader in technology services and part of the ManpowerGroup® (NYSE: MAN) family of brands. We connect skilled technology professionals with meaningful opportunities where they can grow their careers, expand their expertise and make a real impact. Guided by the belief that it takes Human Ingenuity to unlock the true potential of technology, Experis helps people gain experience with leading organizations, build sought-after skills and take the next step toward a brighter future. Backed by ManpowerGroup's 75+ years of workforce expertise and global reach across more than 70 countries and territories, Experis brings the scale, insight and opportunity to help people and businesses thrive. ManpowerGroup is consistently recognized for its commitment to inclusion, ethics and responsible business, including being named one of the World's Most Ethical Companies. Learn more at Experis.com.