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Mid-level ML role, metro location, broad AI skillset and popular title increases applicant competition.
Core ML skills are transferable across industries, though enterprise/government context adds moderate specialization.
Explicit years, domain experience and mandatory technical stack make hiring filters strict.
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Design and implement AI/ML models focused on predictive analytics, NLP, computer vision, and deep learning to optimize citizen services.
Collaborate cross-functionally with data engineers, BI teams, and software engineers to integrate AI models into production systems ensuring explainability, fairness, and transparency.
Drive software feature grooming, risk identification, technical debt clearance, and delivery of scalable distributed software solutions following agile methodologies.
6+ years of professional experience with at least 4+ years in AI/ML solution design and deployment.
Bachelor's degree in B.Tech/BE - IT or Data Science mandatory.
Proficiency in Python/R, TensorFlow, PyTorch, Scikit-learn, and NLP frameworks, with experience in handling large datasets and data pipelines.
Strong knowledge of AI governance, ethics, and model explainability.
Experienced in end-to-end AI/ML model development and production deployment within enterprise or e-Governance domains.
Able to collaborate effectively with multi-disciplinary teams including software engineers, architects, and product managers in an agile environment.
Demonstrates strategic focus on technology integration, technical risk management, and continuous improvement of AI solutions’ quality and scalability.