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ML Ops Engineer

Diverse Lynx India

Location not stated

5 months ago

Docker
Kubernetes
CI/CD
Machine Learning
Python
Java
Scala
TensorFlow
PyTorch
scikit-learn
MLOps
MLflow
Kubeflow
Airflow
Prefect
AWS
Azure
GCP
Jenkins
GitHub Actions
GitLab CI
SQL

5 months ago

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Key Responsibilities
Model Deployment

Deploy ML models into production using scalable frameworks
Build APIs and batch/real-time pipelines
Containerize models using tools like Docker
Orchestrate workflows using Kubernetes
CI/CD for Machine Learning
Design and implement CI/CD pipelines for ML workflows
Automate model training, testing, and deployment
Version control for code, data, and models
Monitoring & Maintenance
Monitor model performance
Tech Stack:
Programming: Python (mandatory), familiarity with Java/Scala is a plus
ML Frameworks: TensorFlow, PyTorch, Scikit-learn
MLOps Tools:
- MLflow / Kubeflow / SageMaker
- Airflow / Prefect
Cloud Platforms: AWS / Azure / GCP
Containerization: Docker, Kubernetes
CI/CD Tools: Jenkins, GitHub Actions, GitLab CI

Data Technologies: SQL, Spark, Kafka (preferred)

ML Ops Engineer · Diverse Lynx India

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