Posted:3 weeks ago|
Platform:
On-site
Full Time
🔍 We’re Hiring: ML Ops Engineer (5+ Years Experience)
📍 Preferred Location: Gurgaon (Open to Pune & Bangalore if needed)
💼 Employment Type: Full-Time
Are you passionate about deploying and automating ML pipelines at scale? We’re looking for a hands-on ML Ops Engineer to join our growing team and help operationalize machine learning in production environments.
✅ Key Responsibilities:
• Develop, deploy, and automate end-to-end ML pipelines.
• Work closely with Data Science and Engineering teams to productionize ML models.
• Ensure robustness, scalability, and automation in ML workflows.
🧠 Technical Requirements:
Cloud & DevOps (AWS):
• Deep experience with AWS core services
• Hands-on with EKS, ECS, ECR, SageMaker (Jobs, Model Registry, Batch Transform, HP Tuning)
• Familiar with Step Functions, EventBridge, SNS/SQS
ML Concepts & MLOps Tools:
• Strong grasp of how ML code is deployed in production environments
• Experience with MLflow for tracking and model management
• Solid understanding of CI/CD for ML (build, test, and deploy ML pipelines efficiently)
📍 Location Flexibility:
• Preferred: Gurgaon
• Open to: Pune & Bangalore for the right candidate
⸻
If you’re ready to scale ML in real-world applications, apply now or refer a friend who fits the bill! Dan@therxcloud.com
RxCloud
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