Architect designing enterprise - grade AI/ML architectures for Quantiphi. Leading AI applications and ML strategy with a focus on scalability, security, and integration.
AA
Onsite Machine Learning Engineer – MLOps, Scalable Systems
Posted 12 hours ago
About the role
- Senior Machine Learning Engineer at APS leading MLOps initiatives and collaborating across teams. Designing and implementing scalable machine learning solutions with a focus on real-time decision-making.
Responsibilities
- Lead MLOps Initiatives: Design, build, deploy, and monitor end-to-end ML solutions that are scalable, reliable, and secure.
- Architect for Scale & Speed: Build applications optimized for low latency on high-volume data pipelines and streaming environments.
- Advise & Innovate: Act as a thought partner to data scientists and engineering leaders, bringing deep domain expertise in ML model design and infrastructure.
- Collaborate Cross-Functionally: Work with enterprise architects, product teams, and data scientists to deliver real-world business value.
- Own Quality & Governance: Establish and maintain best practices for ML lifecycle management, including CI/CD, monitoring, testing, and documentation.
Requirements
- BS degree in Data Science, Computer Science, Information Sciences, Mathematics, Engineering or related field PLUS minimum four (4) years directly related data analytics, data science, predictive modeling, machine learning, statistical modeling and/or user experience role OR advanced degree and two (2) years directly related experience.
- Held a Machine Learning Engineer or MLOps role in a large-scale enterprise environment.
- Deep experience with modern ML models, cloud-native data platforms, and orchestration tools (e.g., Kubeflow, SageMaker, MLflow).
- Proven ability to design scalable ML architectures for streaming and batch use cases.
- A mindset for mentorship and technical leadership, with the ability to guide teams on best practices in production ML.
Benefits
- Support for veterans and spouses
- Employee assistance program
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Software Engineer for ML Infrastructure at Slack, architecting systems to support large scale AI deployment and reliability. Engage in deep systems engineering focusing on ML lifecycle and infrastructure scalability.
Machine Learning Engineer at Winnow developing AI solutions for food waste reduction. Collaborate with cross - functional teams and leverage cutting - edge technologies in food recognition.
Senior Engineer developing AI/ML solutions to enhance patient care at Edwards Lifesciences. Collaborating with cross - functional teams to deliver impactful technologies in healthcare.
Machine Learning Engineer designing and deploying machine learning models for DXC Technology. Collaborating with data scientists and optimizing solutions for impactful results.
Principal AI/ML Engineer leading AI initiatives for global enterprise clients at Symphony. Shaping solutions and architecting production - ready ML systems across diverse domains.
AI/GenAI - ML Engineer at Quento Technologies S.A. building and maintaining scalable and efficient machine learning pipelines for various AI applications.
Staff/Principal Machine Learning Engineer at Inworld optimizing real - time AI models and orchestration. Engaging in deep tech projects in a dynamic, collaborative environment.
Senior Machine Learning Engineer developing and integrating solutions for MoonPay's payments platform. Supporting fraud prevention and collaborating across teams in Fintech.
Lead Machine Learning Engineer at Disney Ad Platforms driving AI innovation and machine learning solutions for advertising. Innovating ad technology while mentoring junior engineers in a collaborative environment.