Senior Machine Learning Engineer

Orion Innovation is a premier, award-winning, global business and technology services firm. Orion delivers game-changing business transformation and product development rooted in digital strategy, experience design, and engineering, with a unique combination of agility, scale, and maturity. We work with a wide range of clients across many industries including financial services, professional services, telecommunications and media, consumer products, automotive, industrial automation, professional sports and entertainment, life sciences, ecommerce, and education.

Job Summary:
We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our innovative team on a mission to revolutionize the audit process through cutting-edge AI technology. As a Senior ML Engineer, you will play a pivotal role in designing, implementing, and maintaining scalable machine learning models that drive our AI Agents, ensuring seamless integration within our cloud-based infrastructure. Your expertise will bridge the gap between theoretical data science and practical software engineering, enabling our AI-driven solutions to achieve unprecedented efficiency and accuracy.

Key Responsibilities:
- Model Deployment & Management: Deploy, monitor, and manage machine learning models within our cloud infrastructure, ensuring high availability and performance.
- Collaboration & Integration: Work closely with data scientists to transition experimental models into production, optimizing them for scalability and efficiency.
- Infrastructure Development: Develop and maintain the infrastructure required for optimal extraction, transformation, and loading of data from various sources using SQL and Azure technologies.
- Continuous Improvement: Continuously evaluate existing models and infrastructure for improvements, applying the latest in machine learning research and technology.
- Best Practices Implementation: Implement best practices for ML lifecycle management, including version control, testing, and deployment using tools like MLflow, Docker, and Kubernetes.
- Cross-Functional Teamwork: Collaborate with product managers, full-stack engineers, and UX/UI designers to ensure the ML models are well-integrated into the product, enhancing user experience and product value.

Required Skills & Qualifications:
- Experience: 5+ years of experience in machine learning engineering or a similar role, with a proven track record of deploying machine learning models in a production environment.

Technical Proficiency:
- Expertise in Python and SQL.
- Strong experience with Docker, Kubernetes, and Azure ML or similar cloud ML services.
- Familiarity with ML lifecycle tools like MLflow.
- Experience with CI/CD tools for ML models, such as Azure Pipelines or GitHub Actions.
- Knowledge of TensorFlow Serving, TorchServe, or similar model serving frameworks.
- Problem-Solving: Exceptional problem-solving skills and the ability to work on complex systems in a fast-paced environment.
- Communication: Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team.

Orion is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, citizenship status, disability status, genetic information, protected veteran status, or any other characteristic protected by law.

Candidate Privacy Policy

Orion Systems Integrators, LLC and its subsidiaries and its affiliates (collectively, “Orion,” “we” or “us”) are committed to protecting your privacy. This Candidate Privacy Policy (orioninc.com) (“Notice”) explains:

• What information we collect during our application and recruitment process and why we collect it;


• How we handle that information; and


• How to access and update that information.

Your use of Orion services is governed by any applicable terms in this notice and our general .