MLOps Engineer

What Working at Hexaware offers:
Hexaware is a dynamic and innovative IT organization committed to delivering cutting-edge solutions to our clients worldwide. We pride ourselves on fostering a collaborative and inclusive work environment where every team member is valued and empowered to succeed. Hexaware provides access to a vast array of tools that enhance, revolutionize, and advance professional profile. We complete the circle with excellent growth opportunities, chances to collaborate with highly visible customers, chances to work alongside bright brains, and the perfect work-life balance. With an ever-expanding portfolio of capabilities, we delve deep into and identify the source of our motivation. Although technology is at the core of our solutions, it is still the people and their passion that fuel Hexaware s commitment towards creating smiles. At Hexaware we encourage to challenge oneself to achieve full potential and propel growth. We trust and empower to disrupt the status quo and innovate for a better future. We encourage an open and inspiring culture that fosters learning and brings talented, passionate, and caring people together. We are always interested in, and want to support, the professional and personal you. We offer a wide array of programs to help expand skills and supercharge careers. We help discover passion the driving force that makes one smile and innovate, create, and make a difference every day.

What would you do?

Job Description:

Position: MLOps Engineer

Location: Atlanta, GA (onsite all 5 days)

Fulltime

Job Description

The Analytics CoE is seeking an experienced IT Engineer IV to provide hands-on engineering capacity across enterprise Analytics, Data Science, and Machine Learning platforms.

The role will focus on cloud platform engineering, automation, technical modernization, and engineering improvements across AWS-based analytics environments, with a primary emphasis on AWS SageMaker / Data Science capabilities. The engineer will design and implement solutions that improve platform scalability, resiliency, security, developer productivity, and operational efficiency.

This individual will work closely with Analytics CoE engineers and partner technology teams to deliver platform enhancements, automate repeatable processes, resolve complex technical issues, strengthen engineering standards, and accelerate modernization initiatives.

Key Responsibilities

• Design and implement enhancements for AWS-based Analytics and Data Science platforms, with a strong focus on SageMaker.
• Develop automation for platform provisioning, administration, maintenance, and recurring engineering activities.
• Improve platform scalability, resiliency, observability, security, and performance.
  Perform complex troubleshooting and root-cause analysis and implement durable engineering solutions.
• Develop and enhance infrastructure-as-code and CI/CD capabilities, including Terraform and GitLab-based deployment patterns where applicable.
• Improve platform access, identity, integration, and self-service capabilities.
• Address security and vulnerability remediation through automation and platform engineering.
• Identify and implement cloud cost optimization / FinOps and resource-efficiency improvements.
• Contribute to Domino platform engineering and modernization activities as needed.
• Support remaining SAS Grid Exit engineering activities, including migration enablement, issue resolution, asset offboarding, and decommissioning.
• Develop reusable engineering patterns, technical documentation, and runbooks.
• Participate in knowledge transfer for key Domino, VTM, cost optimization, and platform-engineering responsibilities prior to Balaji s departure.
• Collaborate with Cloud Engineering, Information Security, DevOps, application teams, vendors, and other technology stakeholders.

Required Skills / Experience

• 10+ years of experience in cloud engineering, platform engineering, DevOps, infrastructure engineering, or related technology roles.
• Strong hands-on experience with AWS services and cloud-native engineering.
• Experience with AWS SageMaker or comparable enterprise Data Science / ML platforms.
• Strong automation and scripting experience using Python, shell, or similar technologies.
• Experience with Terraform, infrastructure-as-code, and CI/CD engineering.
• Strong troubleshooting, systems analysis, and root-cause-analysis capabilities.
• Experience engineering secure cloud environments, including identity/access controls and vulnerability remediation.
• Experience with monitoring, observability, resiliency, and platform-performance engineering.
• Experience with cloud cost optimization and resource-efficiency improvements.
• Ability to design reusable solutions that reduce manual operational processes.
• Strong communication, technical documentation, and cross-team collaboration skills.

Preferred Skills

• Experience with Domino Data Lab or comparable enterprise Analytics / ML platforms.
• Experience with Python-based Data Science and ML workloads.
• Experience with GitLab pipelines and automated platform deployment.
• Experience integrating developer-productivity or AI-assisted development capabilities into cloud platforms.
• Experience with AWS cost management / FinOps practices.
• Experience with analytics-platform migrations, lifecycle modernization, and decommissioning.
• Familiarity with vulnerability-management and compliance engineering.
• SAS experience is beneficial for the remaining SAS Grid Exit closeout but is not a primary requirement.
• Expected Assignment Outcomes

At the end of the four-month engagement, the resource should have:

• Increased engineering capacity for SageMaker / Data Science platform initiatives.
• Delivered targeted platform enhancements and automation that reduce recurring manual activities.
• Resolved complex technical issues through durable engineering improvements.
• Advanced platform security, resiliency, observability, and cost efficiency.
• Supported completion of engineering work associated with the SAS Grid Exit.
• Captured and transitioned critical Domino, VTM, cost-optimization, and platform-engineering knowledge.
• Established reusable engineering patterns, improved technical documentation, and clearly transitioned ownership to the existing team.

Equal Opportunities Employer:
Hexaware Technologies is an equal opportunity employer. We are dedicated to providing a work environment free from discrimination and harassment. All employment decisions at Hexaware are based on business needs, job requirements, and individual qualifications. We do not discriminate based on race including colour, nationality, ethnic or national origin, religion or belief, sex, age, disability, marital status, sexual orientation, parental status, gender reassignment, or any other status protected by law. We encourage candidates of all backgrounds to apply.

Find out more at Hexaware.com.