AI/ML Engineer
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Role details
Tech stack
Job description
Develop, train, test, and optimize machine learning and deep learning models. Analyze large datasets to identify patterns, trends, and business insights. Design and implement AI solutions for predictive analytics, automation, recommendation systems, NLP, and computer vision applications. Build and maintain data pipelines for model training and deployment. Deploy AIML models into production environments and monitor performance. Collaborate with data scientists, software developers, and business stakeh
Minimum years of experience
8-10 years
Top 3 responsibilities you would expect the Subcon to shoulder and execute
Deploy AIML models into production environments and monitor performance.
Collaborate with data scientists, software developers, and business stakeholders.
Ensure data quality, security, and compliance with organizational standards.
Requirements
Strong knowledge of Machine Learning algorithms and Deep Learning frameworks.
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Prepare application
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