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If you are a Machine Learning Operations (MLOps) Engineer looking for excitement, challenge and stability in your work, then you would be glad to come across this page.

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Role:Machine Learning Operations (MLOps) Engineer/Practitioner

Location: Hyderabad

Work Mode: Hybrid

Relevent Experience: 3-8 Years

Type: Contract to Hire

Requirements
Job Summary

We are looking for an experienced MLOps Practitioner to join our Canada Post project.



The ideal candidate should have strong hands-on experience in machine learning operations, model lifecycle management, and AWS-based ML platforms.

Key Responsibilities

• Design and implement MLOps processes for machine learning model development and deployment.

• Work on model training, evaluation, retraining, and monitoring.

• Perform feature engineering and support end-to-end ML workflows.

• Work with core Machine Learning frameworks and tools.

• Build and maintain scalable ML pipelines and model lifecycle processes.

• Utilize AWS SageMaker Unified Studio for ML development and operational workflows.

• Monitor model performance and implement model retraining strategies when required.

Required Skills

• Robust hands-on experience in MLOps.

• Experience with:• Model Training & Evaluation

• Feature Engineering

• Model Retraining

• Model Monitoring

• Core ML Frameworks

• Strong experience with AWS SageMaker U

📌 Machine Learning Operations 3 (Hyderabad)
🏢 Alignity Solutions
📍 Hyderabad