About Gartner IT:

Join a world-class team of skilled engineers who build creative digital solutions to support colleagues and clients. Gartner IT delivers cutting-edge technology solutions that power the organization. The culture values nonstop innovation, an outcome-driven approach to success, and the belief that great ideas can come from anyone on the team.

About the Role:

Gartner is seeking a talented and passionate MLOps Engineer to join the growing team. In this role, you will be responsible for building Python and Spark-based ML solutions that ensure the reliability and efficiency of machine learning systems in production. You will collaborate closely with data scientists to operationalize existing models and optimize MLOps workflows. Expertise in Python, Spark, model inferencing, and AWS services is crucial in driving data-driven initiatives.

What You’ll Do:

• Develop ML inferencing and data pipelines with AWS tools such as S3, EMR, Glue, and Athena.
• Deploy and optimize ML models on SageMaker and EKS.
• Implement Infrastructure as Code (IaC) with Terraform and CI/CD for seamless deployments.
• Ensure data quality, pipeline reliability, and performance.
• Collaborate with product managers, data scientists, and engineers for smooth operations.
• Communicate technical insights clearly and support production troubleshooting.

Key Technical Skills:

Python, Spark, AWS S3, AWS EMR, AWS Glue, AWS Athena, SageMaker, Docker, Kubernetes, Terraform, CI/CD, Infrastructure as Code, CloudFormation, Lambda, Step Functions, Kinesis

Requirements:

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
• 2-4 years of experience building data and MLOps pipelines using Python and Spark.
• Strong proficiency in Python and Spark.
• Hands-on experience with a wide range of AWS services for Big Data and MLOps, including but not limited to S3, Glue, Athena, SageMaker, Lambda, Step Functions, EMR, and Kinesis.
• Experience with Docker; Kubernetes (EKS) experience is a significant plus.
• Experience with CloudFormation or Terraform for deploying and managing AWS resources.
• Strong problem-solving and analytical skills.
• Ability to work effectively in an agile environment.

Who Are We?

At Gartner, Inc. (NYSE: IT), the mission is to guide leaders who shape the world. Gartner delivers actionable, objective insight to help enterprise leaders and their teams succeed with their mission-critical priorities. Founded in 1979, Gartner has grown to over 21,000 associates globally, supporting approximately 14,000 client enterprises in around 90 countries and territories.

The company offers significant professional and personal growth opportunities due to its sustained success and vast, virtually untapped market potential. The culture emphasizes collaboration, inclusivity, and high performance, enabling employees to make a meaningful impact. Gartner consistently earns recognition as a great place to work globally.

What Do We Offer?

Gartner offers world-class benefits, highly competitive compensation, and disproportionate rewards for top performers. In a hybrid work environment, employees enjoy flexibility and support to thrive—working virtually when productive and connecting in person in an engaging, purposeful community.

Equal Opportunity Statement:

Gartner provides equal employment opportunities to all applicants and employees regardless of race, color, creed, religion, sex, sexual orientation, gender identity, marital status, citizenship status, age, national origin, ancestry, disability, veteran status, or any other legally protected status. The company is committed to advancing equal opportunity and offers reasonable accommodations for qualified individuals with disabilities.

Note: Candidates who do not meet every single requirement are encouraged to apply, as Gartner values diverse skills and experiences.