[Remote] ML Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is a reputed company company seeking a Machine Learning Engineer to work on their Global Imaging Platform. The role focuses on ML reputed company, MLOps, model integration, and validation readiness, helping to reputed company algorithm development and deployment workflows across various 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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