ML Model Validation Engineer

Role : MLOps Engineer

Location : Hyderabad

Experience : 3 to 5 years

Job details :

• ML pipeline creation, drift monitoring and control
• Automating CI / CD pipelines to account for data, code, and model changes
• Develop and deploy CI / CD-based automated ML application pipelines (collection, processing, cleaning, transformation, etc.) along with the CT component for a continuous feedback loop for re-training.
• Implement model evaluation and model + data validation tools / techniques such as schema validation, evaluation metrics, etc.
• Querying and working with databases, testing ML models, Git and version control, and frameworks like Flask, and FastAPI.
• Develop and maintain schedulers to orchestrate and schedule various data processing and machine learning tasks.
• Currently exploring triggers based on data changes, model performance degradation, or predefined schedules to initiate retraining workflow.

Regards,

Manvendra Singh

manvendra.singh1@incedoinc.com