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Role:Machine Learning Operations (MLOps) Engineer

Location: Hyderabad | Bengaluru | Chennai | Pune | Mumbai | Kolkata | Gurgaon

Work Mode: Hybrid

Relevent Experience: 6-9 Years

Type: Contract to Hire

Requirements
Key
Responsibilities

ML CI/CD
& Deployment
- Design, build, and maintain CI/CD pipelines for




Machine Learning workflows, including:
- Model training
- Model validation
- Model packaging
- Model deployment
- Ensure ML pipelines operate efficiently across development,
testing, and production environments.

Model
Deployment & Serving
- Implement and manage model deployment patterns,
including:
- Batch inference
- Real-time inference
- Streaming inference
- Develop and maintain model serving
infrastructure for scalable and reliable ML inference.

Model
Observability & Monitoring
- Establish comprehensive model observability
frameworks to monitor:
- Data drift
- Model performance degradation
- Latency
- System failures
- Bias and quality signals

Feature
Engineering Infrastructure
- Build and manage feature pipelines and feature
stores.
- Ensure data lineage, reproducibility, and
traceability across ML workflows.

Experiment
Management & Model Governance
- Operationalize experimen

📌 Machine Learning Operations (Serilingampalle (M))
🏢 Alignity Solutions
📍 Serilingampalle (M)