Senior MLOps Engineer (AWS SageMaker & Airflow)
full-time•India
About this role
Job Title: Senior MLOps Engineer (AWS SageMaker & Airflow)
Experience: 6–8 Years Location: Remote (India) Employment Type: Full-time
About the Role
We are looking for an experienced MLOps Engineer to join our cloud and AI engineering team. This role is ideal for professionals with strong hands-on experience in AWS SageMaker–centric ML workflows and Apache Airflow–based orchestration, who can operationalize machine learning models at scale and ensure reliable, automated ML pipelines.
Key Responsibilities
● Design, build, and maintain end-to-end MLOps pipelines using AWS SageMaker
● Develop and manage Airflow DAGs for ML workflow orchestration (training, validation, deployment, retraining)
● Automate model training, evaluation, versioning, and deployment
● Implement CI/CD pipelines for ML workflows and model releases
● Manage model lifecycle, including experimentation, deployment, monitoring, and retraining
● Integrate data ingestion and feature engineering workflows with ML pipelines
● Monitor model performance, data drift, and pipeline reliability
● Collaborate closely with Data Scientists, Data Engineers, and DevOps teams
● Ensure security, scalability, and cost optimization across ML infrastructure
Required Skills & Qualifications
● 6–8 years of experience in MLOps, ML Engineering, or DevOps for ML
● Strong hands-on experience with AWS SageMaker (training jobs, endpoints, pipelines, model registry)
● Solid experience with Apache Airflow for workflow orchestration
● Proficiency in Python for ML and pipeline development
● Experience building and maintaining production-grade ML pipelines
● Hands-on experience with AWS services such as S3, IAM, EC2, ECR, CloudWatch
● Familiarity with CI/CD tools (GitHub Actions, Jenkins, GitLab CI, etc.)
● Strong understanding of Linux environments and cloud networking basics
● Experience with monitoring, logging, and alerting for ML systems
Preferred / Nice-to-Have Skills
● Experience with SageMaker Pipelines, Feature Store, or Model Registry
● Knowledge of MLflow or experiment tracking tools
● Exposure to Docker and Kubernetes
● Understanding of data drift and concept drift detection
● Experience with Terraform or Infrastructure as Code
Why Join Us
● Work on large-scale, real-world ML systems
● Fully remote role from India
● Collaborate with global teams on cutting-edge AI initiatives
● Opportunity to influence and mature MLOps practices at scale
What you'll do
- The Senior MLOps Engineer will design, build, and maintain end-to-end MLOps pipelines using AWS SageMaker and develop Airflow DAGs for ML workflow orchestration. They will also automate model training, evaluation, versioning, and deployment while ensuring the reliability of ML pipelines.
About NorthBay Solutions
NorthBay is AWS Premier Consulting Partner and also partnered with AI21 Labs, VMware, CloudRail and SAP in support of our Customers’ AWS cloud journeys. NorthBay helps companies transform their business by unlocking the value of their data in the cloud so they can gain agility and speed in their decision making and innovation.
Our specialities include:
- Generative AI
- Managed Service Provider
- Cloud Migration and Modernization Services
- Cloud Application Development
- Data Lake/Data Warehouse
- Machine Learning & AI
- DevOps Enablement
- Staff Augmentation
- Performance & Optimization.
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Frequently Asked Questions
What does a Senior MLOps Engineer (AWS SageMaker & Airflow) do at NorthBay Solutions?
As a Senior MLOps Engineer (AWS SageMaker & Airflow) at NorthBay Solutions, you will: the Senior MLOps Engineer will design, build, and maintain end-to-end MLOps pipelines using AWS SageMaker and develop Airflow DAGs for ML workflow orchestration. They will also automate model training, evaluation, versioning, and deployment while ensuring the reliability of ML pipelines..
Is the Senior MLOps Engineer (AWS SageMaker & Airflow) position at NorthBay Solutions remote?
The Senior MLOps Engineer (AWS SageMaker & Airflow) position at NorthBay Solutions is based in India, India. Contact the company through Clera for specific work arrangement details.
How do I apply for the Senior MLOps Engineer (AWS SageMaker & Airflow) position at NorthBay Solutions?
You can apply for the Senior MLOps Engineer (AWS SageMaker & Airflow) position at NorthBay Solutionsdirectly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process.