We are seeking a skilled Machine Learning Ops Engineer with 3–5 years of experience to design, deploy, and maintain scalable machine learning systems in production. The ideal candidate will have hands-on experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn, along with strong expertise in cloud platforms (AWS, Azure, or GCP) and containerization technologies like Docker and Kubernetes.
Job Description
Key Responsibilities:
Design, implement and maintain ML pipelines for model training, validation, and deployment
Automate model training, testing and deployment (CI/CD of ML models)
Monitor model performance, data drift, and system health in production environments.
Deploy models in pre-prod, prod environments.
Collaborate with data scientists to operationalize machine learning models and algorithms
Implement version control for models, datasets, and ML experiments using MLOps tools
Optimize ML infrastructure for scalability, reliability, and cost-effectiveness
Troubleshoot and resolve issues related to model deployment and production systems
Maintain documentation for ML workflows, deployment processes, and system architecture
This position may require availability outside of standard business hours as part of a rotational on-call schedule.
What You’ll Need to Be Successful (Required Skills):
3 -5 years of experience in software development, DevOps, or data engineering
Proficiency in Python, SQL, and at least one ML framework such as TensorFlow, PyTorch, Scikit-learn
Experience with containerization (Docker) and orchestration tools (Kubernetes)
Knowledge of cloud platforms such as AWS, Azure, GCP and their ML services
Understanding of CI/CD pipelines, version control (Git), and infrastructure as code
Familiarity with monitoring tools and logging frameworks for production systems
Experience with data pipeline tools such as Apache Airflow, Kubeflow, or similar
Strong problem-solving skills and ability to work in fast-paced, collaborative environments
Preferred Skills:
Experience with MLOps platforms such as MLflow, Weights & Biases, Neptune
Knowledge of streaming data processing such as Kafka, Kinesis
Familiarity with infrastructure monitoring tools such as Prometheus, Grafana
Understanding of model interpretability and explainability techniques
Experience with feature stores and data versioning tools
Certification in cloud platforms such as AWS ML, Azure AI, GCP ML
Education/ Certifications:
Bachelor's degree in computer science engineering, Information Technology engineering or any engineering related field.
Why Join Us?
At Netsmart you’ll work on exciting challenges that shape the future of Healthcare. You’ll have the opportunity to:
Collaborate with talented professionals passionate about technology.
Work in a supportive and inclusive environment where your growth is prioritized.
Access professional development opportunities, including certifications and training.
Enjoy a competitive compensation package and comprehensive benefits.
Netsmart is proud to be an equal opportunity workplace and is an affirmative action employer, providing equal employment and advancement opportunities to all individuals. We celebrate diversity and are committed to creating an inclusive environment for all associates. All employment decisions at Netsmart, including but not limited to recruiting, hiring, promotion and transfer, are based on performance, qualifications, abilities, education and experience. Netsmart does not discriminate in employment opportunities or practices based on race, color, religion, sex (including pregnancy), sexual orientation, gender identity or expression, national origin, age, physical or mental disability, past or present military service, or any other status protected by the laws or regulations in the locations where we operate.
Netsmart desires to provide a healthy and safe workplace and, as a government contractor, Netsmart is committed to maintaining a drug-free workplace in accordance with applicable federal law. Pursuant to Netsmart policy, all post-offer candidates are required to successfully complete a pre-employment background check, which is provided at Netsmart’s sole expense.
Skills Required
- 3 - 5 years of experience in software development, DevOps, or data engineering
- Proficiency in Python, SQL, and at least one ML framework such as TensorFlow, PyTorch, Scikit-learn
- Experience with containerization (Docker) and orchestration tools (Kubernetes)
- Knowledge of cloud platforms such as AWS, Azure, GCP and their ML services
- Understanding of CI/CD pipelines, version control (Git), and infrastructure as code
- Familiarity with monitoring tools and logging frameworks for production systems
- Experience with data pipeline tools such as Apache Airflow, Kubeflow, or similar
- Strong problem-solving skills and ability to work in fast-paced, collaborative environments
NetSmart Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NetSmart and has not been reviewed or approved by NetSmart.
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Wellbeing & Lifestyle Benefits — Offerings include a designated mental wellness day, paid volunteer time, telehealth, wellness events, and free 1:1 sessions with counselors and coaches. These wellbeing resources are positioned as stronger than many employers.
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Healthcare Strength — Medical, dental, and vision coverage are paired with short- and long‑term disability and telehealth. The breadth of core health coverage aligns with a comprehensive package.
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Leave & Time Off Breadth — PTO, paid holidays, paid volunteer time, and a designated mental wellness day are part of the offering, with some materials referencing flexible or unlimited PTO. This variety provides multiple avenues for time away.
NetSmart Insights
What We Do
Netsmart designs, builds and delivers electronic health records (EHRs), solutions and services that are powerful, intuitive and easy-to-use. Our platform provides accurate, up-to-date information that is easily accessible to care team members in behavioral health, care at home, senior living and social services. We make the complex simple and personalized so our clients can concentrate on what they do best: provide services and treatment that support whole-person care. By leveraging the powerful Netsmart network, care providers can seamlessly and securely integrate information across communities, collaborate on the most effective treatments and improve outcomes for those in their care. Our streamlined systems and personalized workflows put relevant information at the fingertips of users when and where they need it. For 50 years, Netsmart has been committed to providing a common platform to integrate care. SIMPLE. PERSONAL. POWERFUL. Our more than 2,200 associates work hand-in-hand with our 600,000+ users in more than 25,000 organizations across the U.S. to develop and deploy technology that automates and coordinates everything from clinical to financial to administrative.
