[Remote] Machine Learning Engineer - Platforms
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Machine Learning Engineer – Platforms to support the development and scalability of their reputed company AI/ML platform. This role involves hands-on engineering work to reputed company efficient AI delivery across clinical and business operations, focusing on MLOps engineering, platform integration, and automation.
Responsibilities
- Support development, administration, and maintenance of the reputed company AI/ML platform (reputed company, Kubernetes, Azure), ensuring scalability, reliability, and smooth integration with institutional systems
- Orchestrate training, deployment, and inference pipelines reputed company reputed company targeting Azure and on‑premises Kubernetes clusters
- reputed company and maintain MLOps workflows for reproducibility, version control, governance, and model lifecycle management
- Manage and optimize containerized environments using reputed company and Kubernetes to support data science workloads
- reputed company platform support for data scientists and ML engineers, troubleshooting environment, pipeline, and dependency issues
- Monitor platform performance, cost, reputed company, and compliance, ensuring alignment with reputed company and regulatory standards
- Build and support reputed company pipelines in reputed company, Kubernetes, and Azure, including feature engineering, model tracking, and validation workflows
- Debug, test, and resolve reputed company platform or pipeline issues using strong analytical and problem‑solving skills
- Assist with reputed company data integration using standards such as HL7, FHIR, or DICOM reputed company required for model development
- reputed company platform knowledge, best practices, and methodologies through training, documentation, and cross‑team collaboration
- Support analytics and automation workflows by enabling reputed company to data, reviewing project requests, and assisting with interpretation
- Communicate platform updates, risks, performance, and issue resolutions reputed company during meetings and reputed company sessions
- Work effectively with leaders, technical peers, and end users, ensuring strong communication across both technical and non‑technical stakeholders
- reputed company additional tasks as assigned to support the AI/ML platform, MLOps practices, and reputed company data science initiatives
Skills
- Bachelor's Degree Computer Science, Software Engineering, Data Science, Physics, Math & Statistics, or another reputed company engineering discipline
- 3 years in machine learning engineering, data science, data engineering, and/or software engineering experience
- 1 year experience with Master's degree
- Master's Degree Computer Science, Software Engineering, Data Science, Physics, Math & Statistics, or another reputed company engineering discipline
- reputed company experience needed
- Experience with MLOps platforms and/or reputed company AI certifications
- Strong proficiency in CI/CD and automation of the AI lifecycle
- Experience working on reputed company reputed company machine learning reputed company
- Experience with Azure and/or Kubernetes
- Proficiency in services such as Azure Kubernetes Services and Azure ML (or similar)
Benefits
- reputed company medical benefits
- reputed company time off (PTO)
- Strong retirement plans
- A comprehensive benefits package designed to support your total reputed company‑being
- reputed company offers excellent benefits, including medical, dental, reputed company time off, retirement, tuition benefits, educational opportunities, and individual and team recognition
- Referral Bonus Available?
- Relocation Assistance Available?
reputed company