AWS MLOps Engineer - REMOTE

We currently have a career opportunity for an AWS MLOps Engineer to join our team. While our headquarters location is St. Louis, MO, this position is remote and can be based anywhere within the continental United States.

Job Overview:

Perficient is seeking an experienced AWS MLOps Engineer to design, implement, and maintain robust data pipelines and AI/ML deployment workflows. The ideal candidate will have a strong background in Python, AWS SageMaker, Bedrock, and AI/ML deployment, along with hands-on experience in various DevOps tools and practices.

Perficient is always looking for the best and brightest talent and we need you! We’re a quickly-growing, global digital consulting leader, and we’re transforming the world’s largest enterprises and biggest brands. You’ll work with the latest technologies, expand your skills, and become a part of our global community of talented, diverse, and knowledgeable colleagues.

• Design, build, and manage data pipelines using AWS services including AWS Lakehouse, Amazon Managed Workflows for Apache Airflow (MWAA), and Airflow.
• Deploy and maintain AI/ML models using AWS SageMaker and Bedrock.
• Develop and implement CI/CD workflows using GitHub Actions, Terraform Cloud, and JFrog Artifactory.
• Collaborate with data scientists and ML engineers to integrate and deploy ML models.
• Manage the end-to-end SDLC of ML models, ensuring best practices in version control, testing, and deployment.
• Optimize data workflows for performance, scalability, and reliability.
• Troubleshoot and resolve issues related to data pipelines and ML deployments.

• Bachelor’s degree in computer science, Engineering, or a related field.
• 3-4 years of experience in AI/ML and data pipeline engineering.
• Proficiency in Python and experience with AI/ML deployment.
• Strong experience with AWS services, including SageMaker, Bedrock, and AWS Lakehouse.
• Hands-on experience with MWAA and Airflow for workflow management.
• Familiarity with DevOps tools such as GitHub Actions, Terraform Cloud, and JFrog Artifactory.
• Understanding of the SDLC for ML models and best practices for deployment.
• Strong problem-solving skills and ability to work in a fast-paced environment.
• Excellent communication and collaboration skills.

Preferred Qualifications:

• AWS certification (e.g., AWS Certified Machine Learning, AWS Certified Solutions Architect).
• Experience with additional ML frameworks and libraries.
• Familiarity with data engineering best practices and tools.

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 $73,008 to $170,640. 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 developing a workforce that is as diverse and inclusive as the clients we work with. We’re committed to actively listening, learning, and acting to further advance our organization, our communities, and our future leaders… and we’re not done yet.

Perficient, Inc. proudly provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, gender, sexual orientation, national origin, age, disability, genetic information, marital status, amnesty, or status as a protected veteran in accordance with applicable federal, state and local laws. Perficient, Inc. complies with applicable state and local laws governing non-discrimination in employment in every location in which the company has facilities. This policy applies to all terms and conditions of employment, including, but not limited to, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training. Perficient, Inc. expressly prohibits any form of unlawful employee harassment based on race, color, religion, gender, sexual orientation, national origin, age, genetic information, disability, or covered veterans. Improper interference with the ability of Perficient, Inc. employees to perform their expected job duties is absolutely not tolerated.

Applications will be accepted until the position is filled or the posting is removed.

Disability Accommodations:

Perficient is committed to providing a barrier-free employment process with reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or accommodation due to a disability, please contact us.

Disclaimer: The above statements are not intended to be a complete statement of job content, rather to act as a guide to the essential functions performed by the employee assigned to this classification. Management retains the discretion to add or change the duties of the position at any time.