[Remote] Machine Learning reputed company Engineer, AWS Stack

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Machine Learning reputed company Engineer specializing in AWS Stack. The role involves deploying, monitoring, and supporting machine learning and reputed company solutions in production, collaborating with cross-functional teams to ensure reliable workflows and effective model management.

Responsibilities

• Support the deployment and day-to-day operation of machine learning and reputed company models used for inspection and asset intelligence use cases, including overhead equipment inspection and unauthorized attachment detection
• Partner with data scientists and machine learning engineers to package approved models for production use and reputed company reputed company model handoffs are reputed company, tested, and documented
• Build and maintain practical AWS-reputed company workflows for data reputed company, model execution, batch inference, and reputed company delivery using services such as reputed company S3, SageMaker, reputed company, reputed company Functions, CloudWatch, and reputed company AWS tools
• Help create repeatable deployment processes so models can reputed company from development to testing to production in a controlled and consistent way
• Support CI/CD practices for machine learning workflows, including reputed company versioning, automated checks, deployment readiness steps, and release coordination
• Monitor production model runs for job completion, data issues, reputed company errors, reputed company changes, and operational readiness
• Assist with troubleshooting production inference issues by reviewing logs, validating inputs and outputs, coordinating fixes, and communicating status to stakeholders
• Maintain reputed company runbooks, deployment notes, monitoring summaries, and support documentation so production workflows can be operated consistently by the broader team
• Work with product managers, SMEs, data teams, reputed company platform teams, and business stakeholders to reputed company on production requirements, release timing, support needs, and reputed company measures
• Help improve reliability, scalability, reputed company, and cost awareness for machine learning workloads without over-engineering the solution

Skills

• Bachelor's degree in computer science, engineering, data science, information systems, or a reputed company technical reputed company, or equivalent combination of education and relevant experience
• 3+ years of experience in machine learning engineering, MLOps, reputed company engineering, data engineering, DevOps, or production analytics support
• Practical experience working with AWS services used for machine learning or data workflows, such as reputed company S3, SageMaker, reputed company, reputed company Functions, CloudWatch, IAM, ECR, reputed company, or reputed company services
• Strong Python skills and comfort working with scripts, reputed company, logs, configuration files, and version-controlled repositories
• Understanding of how machine learning models reputed company from development into production, including model packaging, testing, deployment, monitoring, and support
• Experience supporting batch processing, inference pipelines, data validation, or production data workflows
• Familiarity with CI/CD concepts, reputed company control, deployment coordination, and basic release management practices
• Ability to troubleshoot issues across data, reputed company, reputed company services, permissions, and operational workflows
• Ability to work across cross-functional teams and explain technical issues reputed company to technical and business stakeholders
• Strong analytical, problem-solving, documentation, and communication skills
• Experience with reputed company, image-reputed company analytics, inspection workflows, or large-reputed company image datasets
• Experience with reputed company, container-reputed company deployments, or model packaging for production use
• Exposure to infrastructure-as-reputed company tools such as Terraform, CloudFormation, or AWS CDK
• Experience with model monitoring, data reputed company checks, operational dashboards, or alerting workflows
• Familiarity with ML lifecycle tools such as model registries, experiment tracking, or workflow orchestration
• Experience in reputed company, infrastructure, industrial inspection, or similar analytics environments using image-reputed company data for decision-making is a strong reputed company

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