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Tier-1 brand, mid-level AI role, metro location, and generalist requirements increase applicant competition.
Core AI and data skills are broadly transferable across industries, so sensitivity is low.
Requires explicit 5+ years and domain-specific AI/data experience, imposing medium strictness.
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Collaborate on AI DevOps activities to streamline development, testing, deployment, and monitoring of AI solutions with moderate complexity.
Integrate machine learning models from data scientists into end products ensuring compatibility, performance, and reliability.
Handle data processing and model training processes including data cleansing, validation, retraining, statistical analysis, and fine-tuning for optimized model performance.
Bachelor's Degree in Computer Science, Information Management, Data Science, Econometrics, Artificial Intelligence, Applied Mathematics, Information Technology or equivalent.
Minimum 5 years of experience in Data Handling, Data Analytics, AI Modeling or equivalent.
Work Experience Required: Minimum 5 years as specified.
Notice Period: Not explicitly mentioned in the JD.
Experienced in AI DevOps and comfortable working collaboratively in pairing mode and mentoring junior team members.
Ability to interact with business, market, and IT stakeholders to gather clear and actionable AI solution requirements aligned with business goals.
Strong focus on quality assurance, testing, validation, and continuous improvement of AI models and data integrity.