ML Ops Specialist- Senior Professional

3 - 7 years

12 - 17 Lacs

bengaluru

Posted:3 weeks ago| Platform:

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Skills Required

computer science assurance analytical consulting machine learning data governance data quality continuous improvement operations python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Design, implement, and manage ML Ops pipelines to streamline the deployment and monitoring of machine learning models in production.
Collaborate with data scientists and engineers to ensure smooth integration of ML models into existing systems and workflows.
Utilize Azure services for deploying, managing, and scaling machine learning applications and infrastructure.
Monitor model performance and implement strategies for continuous improvement and optimization.
Develop and maintain documentation for ML Ops processes, workflows, and best practices.
Implement AI Ops practices to enhance operational efficiency and reliability of AI systems.
Troubleshoot and resolve issues related to model deployment, performance, and data quality.
Stay updated on industry trends and advancements in ML Ops and AI Ops, recommending best practices for implementation.

Qualifications

Bachelor s or Master s degree in Computer Science, Data Science, or a related field.
3-7 years of experience in ML Ops and AI Ops, preferably in the banking and insurance sectors.
Proficiency in programming languages such as Python or R, with experience in ML frameworks (e.g., TensorFlow, PyTorch).
Strong understanding of Azure services related to machine learning (e.g., Azure Machine Learning, Azure DevOps).
Experience with CI/CD practices for machine learning model deployment.
Excellent analytical and problem-solving skills, with a focus on delivering reliable AI solutions.
Strong communication skills and the ability to work effectively in a collaborative environment.

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