03 Oct
|
Anaptyss
|
Noida
Location: Noida
Experience: 4-7 years
Employment Type: Full-time
About the Role
We are looking for a Python Developer with strong CI/CD and MLOps expertise to build,
automate, and maintain the pipelines that take machine learning models from
experimentation to reliable production. You will work closely with data scientists, ML
engineers, and DevOps teams to make model training, deployment, and monitoring
repeatable, secure, and scalable.
Key Responsibilities
Develop clean, testable, production-grade Python code for ML services, APIs,
and data/model pipelines.
Design and maintain CI/CD pipelines for application and ML workloads (build,
test, security scan, deploy).
Build and operationalize end-to-end MLOps workflows: data validation, training,
evaluation, model registry, deployment, and rollback.
Containerize and deploy models and services using Docker and Kubernetes.
Implement model and data versioning, experiment tracking, and reproducibility
practices.
Set up monitoring for model performance, data drift, and system health, with
alerting and automated retraining triggers.
Manage infrastructure using Infrastructure-as-Code (Terraform, Bicep, or
CloudFormation).
Collaborate with data scientists to convert notebooks and prototypes into robust,
modular pipelines.
Enforce code quality standards through code reviews, unit and integration
testing, and static analysis.
Document architectures, pipelines, and runbooks, and support production
incident resolution.
Required Skills & Qualifications
Bachelor's or Master's degree in Computer Science, Engineering, or a related
field.
Robust proficiency in Python, including OOP, async programming, packaging,
and testing (pytest).
Hands-on experience with FastAPI or Flask for serving models and services.
Proven experience building CI/CD pipelines with tools such as Azure DevOps,
GitHub Actions, GitLab CI, or Jenkins.
Solid MLOps experience with tools such as MLflow, Kubeflow, Airflow, DVC,
Azure ML, AW
📌 Python Developer (Noida)
🏢 Anaptyss
📍 Noida