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Tier-1 employer, Bangalore location, mid-level AI role and popular title increase applicant competition.
Core ML/AI, cloud, and DevOps skills are highly transferable across industries.
Requires deep AI, production, cloud, and DevOps expertise, enforcing strict candidate filters.
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Develop, deploy, and maintain AI-centric solutions progressing from proof of concepts to mature products with organizational-wide impact.
Lead and manage AI and data-centric projects, driving early adoption of novel AI technologies with strategic ownership.
Engage across complex business and technical domains to translate AI innovations into operational, compliant deployments and guide AI vision and strategy.
Master's degree in Artificial Intelligence, Computer Science, or a related field.
Proven work experience in AI or ML/NLP, with demonstrated delivery of AI/NLP applications from idea to production.
Proficiency with Python-based AI frontend tools (Chainlit, Streamlit), AI stack technologies (vector databases, knowledge graphs), and DevOps tools including Docker, Kubernetes, and CI/CD pipelines (preferably Github Actions).
Experience with cloud platforms MS Azure and Amazon AWS AI offerings; familiarity with Infrastructure as Code (Terraform or cloud agnostic tools).
Experienced in scaling AI startups or scaleups, including hands-on with multi-agent AI systems and agentic AI products.
Technically autonomous with capability to lead AI projects end-to-end while translating complex AI concepts for diverse stakeholders.
Familiar with cutting-edge AI technologies and capable of shaping organizational AI strategy within a regulated, corporate environment.