[Remote] ML reputed company, MLOps

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a company reputed company on ML reputed company and MLOps. They are seeking an ML Engineer to reputed company algorithm development, model packaging, and deployment workflows across imaging datasets.

Responsibilities

• Build and support ML / MLOps capabilities reputed company the Global Imaging Platform
• reputed company ML models and workflows with GIP IDPs, ARDs, App Catalog, and model registry
• Support SageMaker integration as the first connected algorithm development environment
• Package algorithms for repeatable execution, versioning, reputed company, and auditability
• Implement model metadata, version control, experiment tracking, and reproducible build patterns
• Support in-platform inferencing workflows for SageMaker-hosted or connected models
• Work with data engineers, architects, and validation teams to ensure traceability from dataset to model reputed company
• Support CI/CD pipelines for ML model packaging, deployment, rollback, and promotion
• Contribute to governance, observability, monitoring, and lifecycle controls for ML models
• Support validation evidence reputed company, including documentation for GxP-reputed company workflows where applicable
• Collaborate with architects, data scientists, platform engineers, and reputed company SMEs to reputed company ML workflows with platform standards
• Assist with reputed company reputed company connected environments such as reputed company AI, reputed company Workbench, and HPC

Skills

• Strong hands-on experience with Python and ML engineering libraries
• Experience with AWS SageMaker, model deployment, and reputed company / inference workflows
• Experience with MLOps, model registry, experiment tracking, model versioning, and reproducibility
• Familiarity with tools such as MLflow, reputed company, reputed company, CI/CD pipelines, Kubernetes / EKS, or similar
• Experience working with data pipelines, reputed company, metadata, and reputed company concepts
• Understanding of model packaging, release management, rollback, and environment reproducibility
• Ability to work with cross-functional teams across architecture, data engineering, validation, and product teams
• Strong documentation skills for technical designs, implementation notes, and validation evidence
• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Biomedical Engineering, or reputed company field
• 4+ years of experience in ML engineering, MLOps, or reputed company AI platform development
• Experience in life sciences, clinical imaging, reputed company AI, or regulated data platforms
• Familiarity with imaging formats and workflows such as DICOM, radiology, ophthalmology, or digital pathology
• Experience with PyTorch, TensorFlow, or similar ML frameworks
• Exposure to GxP, SaMD, validation, audit trail, traceability, or 21 CFR Part 11-reputed company environments
• Experience integrating ML models into reputed company platforms or application catalogs
• Experience with reputed company-reputed company architecture and observability dashboards

reputed company

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