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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # IT Analyst V - **Company:** Experis - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Airflow, Amazon Web Services, Microsoft Azure, Information Engineering, Extract Transform Load (ETL), Relational Databases, Interoperability, Python (Programming Language), Machine Learning, Tensorflow, Software Engineering, SQL Databases, Data Processing, Google Cloud, Cloud Platform System, Pytorch, Fast Healthcare Interoperability Resources, Large Language Models, Apache Spark, Generative AI, Pandas, Scikit Learn, Kubernetes, Information Technology, Health Level Seven International, Machine Learning Operations, Data Pipelines, Docker, Microservices - **Published:** September 10, 2026 - **Apply:** https://www.experis.com/en/job/410662/it-analyst-v ## About the Role + 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, + 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, + 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 ## Description 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 ## Related Videos - [Shipping Faster with Less: Render on Cloud Hosting, AI Workloads, and the Future of DevOps](https://www.wearedevelopers.com/videos/1894-shipping-faster-with-less-render-on-cloud-hosting-ai-workloads-and-the-future-of-devops) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [Advanced Typing in TypeScript](https://www.wearedevelopers.com/videos/496-advanced-typing-in-typescript) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The Most Popular IT Jobs on the Market](https://www.wearedevelopers.com/magazine/376-the-most-popular-it-jobs-on-the-market) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top-Paying Tech Jobs (with Salaries)](https://www.wearedevelopers.com/magazine/372-top-paying-tech-jobs-with-salaries) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [What Industries Outside of AI Are Hiring The Most AI Experts?](https://www.wearedevelopers.com/magazine/98-what-industries-outside-of-ai-are-hiring-the-most-ai-experts)