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Mid-level ML role in metro city with broad skillset increases competition, but company is not top-tier.
Strong ML fundamentals transferable, but enterprise backup and infrastructure requirements raise domain specificity.
Multiple explicit mandatory years, ML frameworks, cloud, and infra skills enforce strict filters.
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Develop, deploy, and document AI/ML solutions (NLP, computer vision, supervised/unsupervised) integrated into customer workflows using Commvault APIs and automation tools.
Lead technical discovery with stakeholders to translate business requirements into scoped AI and automation solutions aligned with compliance and customer needs.
Support remote solution delivery including deployment, testing, handover, and managing customer discussions and project documentation.
Bachelor's degree required.
Minimum 6 years in IT with strong enterprise infrastructure and application operations expertise.
At least 3 years delivering automation and reporting using scripting or orchestration tools; 2+ years programming with Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn.
Experience with cloud platforms (AWS/Azure/GCP) and AI services, REST API integration, SQL Server (T-SQL), and CI/CD tools like GitLab CI or Azure DevOps.
Experienced in project-based delivery in customer-facing or cross-functional teams working independently and collaboratively in distributed environments.
Skilled in using AI-assisted coding tools while maintaining code quality via standards and reviews.
Familiar with enterprise backup/recovery platforms (preferably Commvault), orchestration in private/public clouds, and security and SaaS environments.