This job posting has expired
Expired on April 1, 2026
Senior Machine Learning Operations Engineer
Job Description
Brightly Software is a leader in intelligent asset management and operational optimization, empowering organizations with data‑driven insights. As we expand our AI and ML capabilities, we are seeking a Senior MLOps Engineer to build and scale the infrastructure that powers our next generation of predictive and autonomous solutions.
Responsibilities
- Design, build, and operate ML/AI development platforms on AWS (SageMaker, S3, Glue, Lambda, ECS/EKS)
- Implement infrastructure‑as‑code using Terraform
- Build automated data ingestion and transformation pipelines
- Develop CI/CD pipelines for ML with CodeBuild, CodePipeline, or GitHub Actions
- Deploy real‑time inference endpoints and scalable batch processing jobs
- Implement production monitoring for drift, bias, and performance
- Contribute to the integration of emerging GenAI workloads (Bedrock, RAG pipelines)
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field
- 7+ years of professional experience in ML engineering, DevOps, cloud engineering, or MLOps
- 3+ years in designing and architecting robust, scalable ML systems
- 5+ years experience building on the AWS ML ecosystem
- 3+ years hands-on experience deploying and scaling ML models
- 3+ years strong Python development skills and Docker-based workflows
- 5+ years understanding of ML lifecycles and infrastructure-as-code (Terraform)
- 2+ years experience with data quality frameworks (Great Expectations, Deequ)