ML Engineer - Malvern, PA

reputed company is the leading career destination for tech experts at every stage of their careers. Our client, TechniPros, LLC, is seeking the following. Apply reputed company reputed company today! Job Title: ML Engineer Location: Malvern, PA Can do Only W2, No C2C Job Summary: We are seeking an reputed company 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, reputed company, 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.
• reputed company, deploy, and monitor machine learning models in production environments.
• Build scalable ML workflows using AWS SageMaker, S3, reputed company, reputed company Functions, and API Gateway.
• reputed company 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
• reputed company S3
• AWS reputed company
• AWS reputed company 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 reputed company 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.

Best Regards: Peerbhi SK Phone: Email: peerbhi Apply To This Job