AWS MLOps Engineer
Skills
About the role
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 GitHub 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
SQLAlchemy / 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 deadline to apply 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.
Accommodation
Concentrix welcomes and encourages applications from candidates with disabilities and is committed to providing an inclusive recruitment process. If you require reasonable accommodation to participate in any stage of the application or interview process, please let us know. Requests may be made by contacting app.acco@concentrix.com. All information will be treated confidentially and used solely to facilitate your participation in the recruitment process.
Artificial Intelligence
As part of our recruitment process, we may use artificial intelligence (AI) tools to assist in the screening and/or assessment of job applicants. These tools could be used to evaluate resumes, applications, and other materials submitted to help us identify the best candidates for the role.
Work Authorization
In accordance with federal law, only applicants who are legally authorized to work in the United States will be considered for this position. Must reside in the United States or have a valid U.S. address for residence.
#WFH
#LI-Remote
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.
English
Spanish
Accommodation:
Concentrix welcomes and encourages applications from candidates with disabilities and is committed to providing an inclusive recruitment process. If you require reasonable accommodation to participate in any stage of the application or interview process, please let us know. Requests may be made by contacting app.acco@concentrix.com. All information will be treated confidentially and used solely to facilitate your participation in the recruitment process.
Artificial Intelligence:
As part of our recruitment process, we may use artificial intelligence (AI) tools to assist in the screening and/or assessment of job applicants. These tools could be used to evaluate resumes, applications, and other materials submitted to help us identify the best candidates for the role.
Work Authorization:
In accordance with federal law, only applicants who are legally authorized to work in the United States will be considered for this position. Must reside in the United States or have a valid U.S. address for residence.
Compensation
This MLOps Engineer role pays $92k-$120k/yr. Within typical range for mlops engineer roles in United States.
Questions about this role
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