AWS MLOps Engineer
About The Position
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. Concentrix is a global technology and services leader that powers the brands of the future. We help well-known brands improve their businesses with technology and integrated solutions, in over 70 countries. We are solution-focused, tech-powered, and intelligence-fueled. With unique data and insights, deep industry expertise, and advanced technology solutions, we are 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 at scale. You 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 gamechangers 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.
Requirements
- 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
Nice To Haves
- Agentic AI
- Databricks (Unity Catalog, Jobs & Workflows, Access Management)
Responsibilities
- ML lifecycle management
- Model deployment
- Cloud-based ML systems
- Training ML models
- Evaluating ML models
- Deploying ML models
- Versioning ML models
- Monitoring ML models in production environments
- End-to-end ML lifecycle management including: training, deployment, versioning, monitoring, production support
Benefits
- medical, dental, and vision insurance
- comprehensive employee assistance program
- 401(k) retirement plan
- paid time off and holidays
- paid learning days
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
