AI ML Engineer - Malvern, PA

Job Title:

ML Engineer Location:

Malvern, PA Long Term Contact Can do Only W2, No C2

C Job Summary:

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.

Key Responsibilities:

Design, develop, deploy, and maintain scalable machine learning solutions. Build and manage end-to-end ML pipelines using AWS cloud services. Implement and manage ML model lifecycle processes from development through production. Develop, deploy, and monitor machine learning models in production environments. Build scalable ML workflows using AWS SageMaker, S3, Lambda, Step Functions, and API Gateway. Perform feature engineering and optimize machine learning models for production use. Implement CI/CD pipelines using AWS CodePipeline and CodeBuild. Improve system reliability, performance, scalability, and cost efficiency. Monitor ML applications and troubleshoot production issues. Collaborate with data scientists, engineers, and business teams to deliver ML solutions.

Required Skills:

Machine Learning MLOps AWS Cloud Services AWS SageMaker Amazon S3

AWS Lambda AWS Step Functions AWS API Gateway CI/CD Implementation AWS CodePipeline AWS CodeBuild Feature Engineering Machine Learning Model Deployment Model Monitoring End-to-End ML Lifecycle Management Productionizing ML Models DevOps Practices Cloud-based ML Architecture Preferred Qualifications:

8-10 years of experience in Machine Learning Engineering, MLOps, or related fields. Experience building enterprise-scale machine learning platforms. 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.

Soft 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.

Mandatory Skills:

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:

Bindu M Phone:

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