AWS MLOps Engineer

Job Title:

AWS MLOps Engineer

Job Description

We're Concentrix. The intelligent transformation partner. Solution-focused. Tech-powered. Intelligence-fueled.

The global technology and services leader that powers the world's best brands, today and into the future. We're solution-focused, tech-powered, intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we're the intelligent transformation partner that powers a world that works, helping companies become refreshingly simple to work, interact, and transact with. We shape new game-changing careers in over 70 countries, attracting the best talent.

The Concentrix Technical Products and Services team is the driving force behind Concentrix's transformation, data, and technology services. We integrate world-class digital engineering, creativity, and a deep understanding of human behavior to find and unlock value through tech-powered and intelligence-fueled experiences. We combine human-centered design, powerful data, and strong tech to accelerate transformation  will be surrounded by the best in the world providing market leading technology and insights to modernize and simplify the customer experience.

Within our professional services team, you will deliver strategic consulting, design, advisory services, market research, and contact center analytics that deliver insights to improve outcomes and value for our clients. Hence achieving our vision.

Our game changers around the world have devoted their careers to ensuring every relationship is exceptional. And we're proud to be recognized with awards such as "World's Best Workplaces," "Best Companies for Career Growth," and "Best Company Culture," year after year.

Join us and be part of this journey towards greater opportunities and brighter futures.

AWS MLOps Enginner

We are looking for an ML Engineer / MLOps Engineer with experience in ML lifecycle management, model deployment, and cloud-based ML systems. The ideal candidate should have hands-on expertise in training, evaluating, deploying, versioning, and monitoring ML models in production environments.

Required Skills

ML / MLOps

2+ years of experience in:

* MLflow / Spark ML

* Python and ML libraries

* Model training and evaluation

* Model registration, versioning, and lifecycle management

* Model deployment, CI/CD, and Git Hub Actions

* Model monitoring and performance metrics

AWS Cloud

2+ years of experience with:

* Amazon ECS

* Amazon ECR

* Amazon API Gateway

* Amazon RDS

* Application Load Balancer

* Amazon S3

Backend

1+ year of experience in:

* FastAPI

* REST API development

* SQL and relational data modeling

* PostgreSQL

* SQL Alchemy / ORM

Good to Have

Preferred Skills

Experience with :

* Agentic AI

* Databricks (Unity Catalog, Jobs & Workflows, Access Management)

Someone who has worked on end-to-end ML lifecycle management including:

* training

* deployment

* versioning

* monitoring

* production support

The base salary for this position is $92,250 - $120,000 plus incentives that align with individual and company performance. Actual salaries will vary based on work location, qualifications, skills, education, experience, and competencies. Benefits available to eligible employees in this role include medical, dental, and vision insurance, comprehensive employee assistance program, 401(k) retirement plan, paid time off and holidays and paid learning days.

The Final date to receive applications for this position is: 06/17/2026. This position is for an existing, immediate vacancy. We are currently seeking to fill this role with an individual who can start as soon as possible.

As part of the hiring process, candidates may be required to undergo background screening and identity verification, where permitted by applicable law and consistent with the requirements of the role. Certain verification processes used by the Company or its service providers may involve technologies that rely on biometric identifiers or biometric information, where permitted by law. If biometric identifiers or biometric information are collected, used, or stored, the Company will provide the legally required disclosures and obtain any required written consent prior to such collection, and will handle such information in accordance with applicable biometric privacy laws and Company policies.

Physical and Mental Requirements

The employee is regularly required to operate a computer, keyboard, telephone/headset, and/or other office equipment as essential functions of this position. Work is generally sedentary in nature.

Equal Employment Opportunity

Concentrix is an equal opportunity and affirmative action (EEO-AA) employer. We promote equal opportunity to all qualified individuals and do not discriminate in any phase of the employment process based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, pregnancy or related condition, disability, status as a protected veteran, or any other basis protected by law.

For more information regarding your EEO…