AWS ML Ops Lead Engineer - Remote

We currently have a career opportunity for an AWS ML Ops Lead Engineer.  Our headquarters is located in St Louis and this position can work remote any place nationally.

Job Overview:

As a Lead AWS SageMaker ML Ops Engineer, you will focus on the operational aspects of machine learning models, bridging the gap between data science and IT operations. Help manage the entire machine learning lifecycle, from model development and deployment to monitoring and maintenance, ensuring seamless integration into production environments. 

You will participate in all aspects of the software development lifecycle which includes estimating, technical design, implementation, documentation, testing, deployment and support of application developed for our clients. As a member working in a team environment, you will work with solution architects and developers on interpretation/translation of wireframes and creative designs into functional requirements, and subsequently into technical design.

• Implement and maintain Machine Learning training, evaluation, deployment and monitoring automation workflows using AWS SageMaker
• Create a MLOps reference standard solution, and then update, validate and redeploy existing Python GitHub repositories to match that new standard
• Design and maintain production-grade monitoring and logging systems for ML models, contributing to the strategy and development of solution for real-time model oversight
• Implement CI/CD pipelines for ML models, leveraging tools such as AWS Code Pipeline and GitHub Actions
• Develop monitoring and alerting solutions for deployed models (performance drift, latency, accuracy)
• Maintain supporting data pipelines using AWS Glue, AWS Lambda, Amazon S3, Amazon Redshift, and similar, in collaboration with cloud data engineering teams
• Manage infrastructure as code using AWS CloudFormation or Terraform
• Ensure security, compliance, and cost optimization across ML infrastructure

• Hands on technical experience with the following:
  • AWS SageMaker
  • Python
  • GitHub
  • AWS Glue, Lambda, Amazon Redshift, Amazon S3.
  • AWS CloudFormation and/or Terraform
• Client facing or consulting experience highly preferred.
• Skilled problem solvers with the desire and proven ability to create innovative solutions.
• Flexible and adaptable attitude, disciplined to manage multiple responsibilities and adjust to varied environments.
• Bachelor’s Degree in MIS, Computer Science, Math, Engineering or comparable major.
• Solid foundation in Computer Science, with strong competencies in Gen AI, ML, data structures, algorithms and software design.
• Knowledge and experience in developing software using agile methodologies.
• Proficient in authoring, editing and presenting technical documents.
• Ability to communicate effectively via multiple channels (verbal, written, etc.) with technical and non-technical staff.

The salary range for this position takes into consideration a variety of factors, including but not limited to skill sets, level of experience, applicable office location, training, licensure and certifications, and other business and organizational needs. The new hire salary range displays the minimum and maximum salary targets for this position across all US locations, and the range has not been adjusted for any specific state differentials. It is not typical for a candidate to be hired at or near the top of the range for their role, and compensation decisions are dependent on the unique facts and circumstances regarding each candidate. A reasonable estimate of the current salary range for this position is $120,000 to $160,000 base. Please note that the salary range posted reflects the base salary only and does not include benefits or any potential equity or variable bonus programs. Information regarding the benefits available for this position are in our benefits overview.

WHO WE ARE

Perficient is a leading global digital consultancy. We imagine, create, engineer, and run digital transformation solutions that help our clients exceed customers’ expectations, outpace competition, and grow their business. With unparalleled strategy, creative, and technology capabilities, our colleagues bring big thinking and innovative ideas, along with a practical approach to help our clients – the world’s largest enterprises and biggest brands succeed.

WHAT WE BELIEVE

At Perficient, we promise to challenge, champion, and celebrate our people. You will experience a unique and collaborative culture that values every voice. Join our team, and you’ll become part of something truly special.

We believe in devel