ML Engineer

Job#: 3050994

Job Description:
Machine Learning Engineer (MLOps)

Location: Remote / Hybrid

Duration: Contract-to-Hire
Overview

We are seeking a Machine Learning Engineer to join a growing AI team focused on building and scaling production machine learning solutions in a highly regulated environment. This role will be responsible for developing MLOps infrastructure, supporting machine learning deployments, optimizing data pipelines, and ensuring AI models operate reliably and securely in production.

The ideal candidate will have a strong software engineering background, hands-on experience with cloud technologies, and a passion for building scalable machine learning systems.
Key Responsibilities
Machine Learning & MLOps

• Develop and maintain CI/CD pipelines for machine learning workflows.
• Automate model testing, deployment, versioning, and monitoring.
• Deploy machine learning models as scalable APIs and microservices.
• Monitor production model performance, system health, and data quality.
• Support end-to-end ML lifecycle management.

Data Engineering

• Design and optimize ETL and data processing pipelines.
• Transform structured and unstructured data for machine learning applications.
• Build and maintain feature stores and data infrastructure supporting AI initiatives.
• Ensure consistency between training and production environments.

Cloud & Infrastructure

• Deploy and manage machine learning workloads within AWS, Azure, or Google Cloud Platform environments.
• Utilize Docker and Kubernetes for containerization and orchestration.
• Improve scalability, reliability, and performance of AI systems.
• Support infrastructure automation and operational best practices.

Engineering Excellence

• Write clean, maintainable, and well-documented Python code.
• Participate in code reviews and engineering best practices.
• Collaborate with cross-functional teams including software engineers, data engineers, and data scientists.
• Ensure adherence to security, compliance, and data governance requirements.

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Engineering, or related field.
• 3+ years of software engineering, machine learning engineering, or data engineering experience.
• 2+ years supporting production machine learning environments.
• Strong Python development experience.
• Experience with SQL and modern data processing frameworks.
• Hands-on experience with AWS, Azure, or Google Cloud Platform.
• Experience with Docker and containerized applications.
• Experience with machine learning frameworks such as PyTorch or Scikit-Learn.
• Familiarity with MLOps tools including MLflow, Kubeflow, Airflow, Prefect, BentoML, or similar.
• Experience with Pandas, Spark, dbt, or related data technologies.

Preferred Qualifications

• Experience deploying and supporting Large Language Models (LLMs).
• Experience with LangChain or similar AI frameworks.
• Background working within healthcare, life sciences, financial services, or other regulated industries.
• Knowledge of API development and microservices architecture.
• Familiarity with healthcare interoperability standards such as HL7 and FHIR.

Technical Skills

Python Machine Learning MLOps Kubernetes Docker AWS Azure Google Cloud Platform MLflow Kubeflow Airflow Spark Pandas SQL ETL LangChain LLMs API Development Microservices

Everforth Apex is a world-class IT services company that serves thousands of clients across the globe. When you join Everforth Apex, you become part of a team that values innovation, collaboration, and continuous learning. We offer quality career resources, training, certifications, development opportunities, and a comprehensive benefits package. Our commitment to excellence is reflected in many awards, including ClearlyRateds Best of Staffing in Talent Satisfaction in the United States and Great Place to Work in the United Kingdom and Mexico.

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Everforth Apex Benefits Overview: Everforth Apex offers a range of supplemental benefits, including medical, dental, vision, life, disability, and other insurance plans that offer an optional layer of financial protection. We offer an ESPP (employee stock purchase program) and a 401K program which allows you to contribute typically within 30 days of starting, with a company match after 12 months of tenure. Everforth Apex also offers a HSA (Health Savings Account on the HDHP plan), a SupportLinc Employee Assistance Program (EAP) with up to 8 free counseling sessions, a corporate discount savings program and other discounts. In terms of professional development, Everforth Apex hosts an on-demand training program, provides access to certification prep and a library of technical and leadership courses/books/seminars once you have 6+ months of tenure, and certification discounts and other perks to associations that include CompTIA and IIBA. Everforth Apex has a dedicated customer service team for our Consultants that can address questions around benefits and other resources, as well as a certified Career Coach. You can access a full list of our benefits, programs, support teams and resources within our 'Welcome Packet' as well, which an Everforth Apex team member can provide.

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