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Specialized ML role with mid-level experience and metro demand, moderate applicant competition.
Technical ML and MLOps skills transfer across industries but require domain-specific experience.
Specific ML, MLOps and XGBoost skills raise screening strictness despite no explicit years requirement.
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Develop and implement AI and machine learning models with focus on Agentic AI, generative AI, and XGboost.
Manage and optimize machine learning operations (MLOps) for scalable deployment.
Drive the integration of advanced ML techniques into business or product workflows.
Experience with Agentic AI, generative AI, ML, MLOps, and XGboost is mandatory.
Work Experience Required: Not explicitly mentioned in the JD.
No explicit degree or educational qualifications mentioned.
No notice period or location requirements mentioned.
Proficient in end-to-end machine learning development and operations.
Familiar with cutting-edge AI technologies, especially generative AI and agentic AI frameworks.
Capable of handling ML model deployment and lifecycle management in production environments.