ML Engineer

ML Engineer

Location: Malvern, Pennsylvania, USA • Work type: On-site

About TechniPros

TechniPros is a technology services firm that partners with organizations to deliver data-driven solutions and modern cloud architectures. The team focuses on applying machine learning and MLOps practices to produce reliable, scalable production systems.

Why Join Us?

• Work on end-to-end ML systems and MLOps workflows with modern AWS services (SageMaker, S3, Lambda).
• Collaborative team environment that values performance, reliability, and cost optimization.
• Opportunities for professional growth in cloud-native ML and DevOps practices.
• Competitive W2 compensation and a permanent role with a focus on long-term impact.

Key Responsibilities

• Design, build, and operate scalable ML pipelines and model deployments in AWS (SageMaker, Lambda, API Gateway, Step Functions).
• Implement CI/CD for model and infrastructure delivery using tools such as CodePipeline and CodeBuild, with containerization best practices.
• Manage full model lifecycle: training, validation, deployment, monitoring, and retraining.
• Optimize model performance, reliability, and cost; implement monitoring and alerting for production models.
• Collaborate with data scientists, engineers, and stakeholders to productionize features and models.

Qualifications

• Strong background in Machine Learning and MLOps with hands-on AWS experience (SageMaker, S3, Lambda, Step Functions, API Gateway).
• Experience with DevOps practices and CI/CD pipelines (CodePipeline, CodeBuild or equivalent).
• Proficiency in Python, containerization (Docker), and infrastructure-as-code concepts.
• Proven experience in productionizing ML models, feature engineering, and monitoring model performance.
• Excellent communication skills and ability to work effectively in cross-functional teams.

Ready to Apply?

If you are an experienced ML Engineer with strong MLOps and AWS expertise and are authorized to work on W2 terms, we encourage you to apply. Please send your resume and a brief summary of relevant experience to the contact below.

Contact: [email protected]

Phone: +1-469-612-3133

Take the next step in your career!