TechniPros

TechniPros

AI ML Engineer - Malvern, PA

Malvern, Pennsylvania, USA · Senior · Contract

Sponsorship not specifiedDetected 127 days ago
AWSCI/CDDevOpsMachine LearningMLOpsCommunicationCollaborationProblem SolvingAdaptability

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odds of building a lasting career here

37Risky
Cap-exempt (no lottery)0
Sponsors this role80
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70

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from this employer's Department of Labor filings

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22% of this employer's visa filings place the worker at a client company rather than at the employer itself, across 2 clients. Your visa, salary band and layoff exposure would follow the employer of record, not the client.Most common: REMOTE HOME FOR ECOATM · USAA incFiles as an H-1B dependent employer.

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About the role

  • We are seeking an experienced Machine Learning Engineer with strong MLOps expertise on AWS to design, build, deploy, and maintain scalable machine learning solutions.
  • The ideal candidate will have hands-on experience with AWS ML services, productionizing machine learning models, automated CI/CD pipelines, and end-to-end model lifecycle management.
  • The candidate should have strong knowledge of Machine Learning, DevOps, AWS cloud services, feature engineering, and production ML systems with a focus on reliability, performance, and cost optimization.

Responsibilities

  • Build and manage end-to-end ML pipelines using AWS cloud services.
  • Implement and manage ML model lifecycle processes from development through production.
  • Build scalable ML workflows using AWS SageMaker, S3, Lambda, Step Functions, and API Gateway.
  • Implement CI/CD pipelines using AWS CodePipeline and CodeBuild.
  • Collaborate with data scientists, engineers, and business teams to deliver ML solutions.

Nice to have

  • Strong experience with AWS-based ML solutions.
  • Experience implementing automation and deployment frameworks.
  • Experience optimizing ML workloads for performance and cost.
  • Experience working with production-grade ML systems.

Skills

  • Strong analytical and problem-solving skills.
  • Excellent communication and collaboration abilities.
  • Ability to work with cross-functional technical teams.
  • Strong ownership and attention to detail.
  • Ability to troubleshoot complex technical issues.
  • Adaptability to evolving technologies and business requirements.
  • Machine Learning, MLOps, AWS, SageMaker, S3, Lambda, Step Functions, API Gateway, CodePipeline, CodeBuild, CI/CD, DevOps,
  • Feature Engineering, ML Model Deployment, Model Lifecycle Management Best Regards:

Benefits

  • Design, develop, deploy, and maintain scalable machine learning solutions.
  • Develop, deploy, and monitor machine learning models in production environments.
  • Perform feature engineering and optimize machine learning models for production use.

This listing is sourced directly from TechniPros's careers page and normalized into a canonical job model.