AI/ML Ops Engineer

CCS Medical

Apr 16, 2025

AI/ML Ops Engineer

Job Location

US

2025-3815

Category

Information Technology

Position Status

Regular Full-Time

Position Schedule

Monday-Friday

Shift

8am - 5pm

Overview

CCS transforms chronic care management by combining equipment and products with comprehensive education, monitoring, and coaching to improve care outcomes and reduce acute episodes. With this collaborative care approach, we are redefining patient care. We are seeking a passionate Azure AI/ML Ops engineer to create data platforms and pipeline to enable advanced analytics.

AI/MLOPS Engineers are the crafters of automation, turning data-driven models into practical applications. They take the prototypes developed by Data Scientists and fine-tune them for scalability, efficiency, and real-world deployment. Their expertise in machine learning frameworks and software engineering ensures that the predictive power of models seamlessly integrates into everyday operations.

The successful candidate will report directly to the Director, Data Science. The position location is flexible, but the placement must be willing to travel quarterly.

Responsibilities

Utilize Azure technologies like Azure Cognitive Technologies, Azure Machine Learning, and Azure Bot Services to design, create, and deploy AI/ML based applications.

Include AI components into data workflows, engage with data scientists and data engineers.
Utilize Azure AI services to implement natural language processing (NLP), create and implement machine learning models and algorithms.
Automate the deployment and monitoring of AI models, collaborate with DevOps teams.
Use AI to automate processes such as sentiment analysis, image identification, recommendation systems, and chatbots.
Implementing machine learning pipelines and workflows
Deploying and scaling ML models in production environments
Automating CI/CD pipelines to account for data, code, and model changes
Monitoring model performance and applying updates as needed
Ensuring the security and compliance of machine learning systems
Collaborating with data scientists to optimize models and improve performance
Maintains a high degree of confidentiality at all times due to access to sensitive information
Maintains regular, predictable, consistent attendance and is flexible to meet the needs of the department
Follows all Medicare, Medicaid, HIPAA, and Private Insurance regulations and requirements
Abides by all regulations, policies, procedures and standards

Desired Outcomes

Successfully designing, creating, and deploying AI/ML-based applications using Azure technologies.
Integrating AI components into data workflows and collaborating with data scientists and data engineers.
Implementing natural language processing (NLP) and machine learning models and algorithms using Azure AI services.
Automating the deployment and monitoring of AI models and collaborating with DevOps teams.
Using AI to automate processes such as sentiment analysis, image identification, recommendation systems, and chatbots.

Qualifications

5 or more years of experience in development
Education- Bachelor's Degree, (BA/BS) in Information Systems from a four-year college or university or equivalent combination of education and/or experience 3-plus years of experience in managing machine learning projects end-to-end, with the last 18 months focused on MLOps
Strong programming skills, preferably in languages like Python, Java, or Scala
Proficiency in machine learning libraries and frameworks, such as TensorFlow, PyTorch, or scikit-learn
Experience with containerization technologies, like Docker and Kubernetes
Familiarity with ML model deployment tools, such as MLflow or Kubeflow
Working experience in Azure cloud platform
Automation of machine learning model deployment

Values

Certainty-The lives of the individuals we serve depend on our ability to execute. We commit to doing this every day.

Use appropriate methods and a flexible interpersonal style to help build a cohesive and collaborative team based on a foundation of trust and transparency. Deliver what you commit to.

Compassion-We understand the burdens of patients and their loved ones and channel this into a relentless pursuit of customer satisfaction in every part of our business.

Ensure that the patient is the driving force behind business decisions, implementing service practices that meet needs of both the patient and the organization. Treat other the way you want to be treated.

Advancement-We are endlessly looking for ways to progress and become more innovative in all things we do.

Encourage innovative approaches for addressing opportunities and facilitating change, driving cross-functional alignment to accomplish goals. Speak the truth.

CCS is an EEO/AA Employer. M/F/D/V