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Mid-level ML role in metros with broad skills attracts medium competition.
Requires ML and enterprise automation expertise making industry-specific background moderately important.
Multiple explicit years and mandatory ML, cloud, and automation skills create high shortlisting strictness.
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Develop and deploy AI/ML solutions including NLP, computer vision, and supervised/unsupervised learning to automate workflows using Commvault APIs and cloud services.
Collaborate with product and customer teams to integrate AI-driven automation that complies with objectives and standards.
Manage project delivery including discovery, solution documentation, deployment, testing, and customer handover while leading discussions and tracking action items.
Bachelor's degree required.
6+ years in IT with enterprise infrastructure and operations experience.
Minimum 3 years experience delivering automation and reporting using scripting/orchestration; 2+ years programming with Python and ML frameworks (TensorFlow, PyTorch, Scikit-learn).
Cloud experience in AWS, Azure, or GCP including AI services; REST API integration experience; knowledge of CI/CD and version control tools such as GitLab CI or Azure DevOps.
Experienced in project-based delivery with customer-facing or cross-functional teams for at least 4 years.
Skilled in AI-assisted coding tools maintaining high standards and code quality.
Strong foundation in OS, storage, networking, security, cloud fundamentals, plus scripting (Java/Groovy/JavaScript) and SQL Server (T-SQL) for automation and reporting.