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 Lang Chain, 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,…