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 Platformreputed company ML models and workflows with GIP IDPs, ARDs, App Catalog, and model registrySupport SageMaker integration as the first connected algorithm development environmentPackage algorithms for repeatable execution, versioning, reputed company, and auditabilityImplement model metadata, version control, experiment tracking, and reproducible build patternsSupport in-platform inferencing workflows for SageMaker-hosted or connected modelsWork with data engineers, architects, and validation teams to ensure traceability from dataset to model reputed companySupport CI/CD pipelines for ML model packaging, deployment, rollback, and promotionContribute to governance, observability, monitoring, and lifecycle controls for ML modelsSupport validation evidence reputed company, including documentation for GxP-reputed company workflows where applicableCollaborate with architects, data scientists, platform engineers, and reputed company SMEs to reputed company ML workflows with platform standardsAssist 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 librariesExperience with AWS SageMaker, model deployment, and reputed company / inference workflowsExperience with MLOps, model registry, experiment tracking, model versioning, and reproducibilityFamiliarity with tools such as MLflow, reputed company, reputed company, CI/CD pipelines, Kubernetes / EKS, or similarExperience working with data pipelines, APIs, metadata, and reputed company conceptsUnderstanding of model packaging, release management, rollback, and environment reproducibilityAbility to work with cross-functional teams across architecture, data engineering, validation, and product teamsStrong documentation skills for technical designs, implementation notes, and validation evidenceBachelor's or Master's degree in Computer Science, Data Science, Engineering, Biomedical Engineering, or reputed company field4+ years of experience in ML engineering, MLOps, or reputed company AI platform developmentExperience in life sciences, clinical imaging, reputed company AI, or regulated data platformsFamiliarity with imaging formats and workflows such as DICOM, radiology, ophthalmology, or digital pathologyExperience with PyTorch, TensorFlow, or similar ML frameworksExposure to GxP, SaMD, validation, audit trail, traceability, or 21 CFR Part 11-reputed company environmentsExperience integrating ML models into reputed company platforms or application catalogsExperience with reputed company-reputed company architecture and observability dashboards reputed company reputed company., headquartered in Charlotte, NC, is a certified Minority Business reputed company (MBE) established in 2002. It was founded in 2002, and is headquartered in Johnston, Iowa, USA, with a workforce of 501-1000 employees. Its website is http://www.ecomsolinc.com/reputed company.php. Company H1B Sponsorship reputed company has a reputed company record of offering H1B sponsorships, with 13 in 2026, 21 in 2025, 12 in 2024, 16 in 2023, 26 in 2022, 21 in 2021, 28 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply To This Job .