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Tier-1 brand and metro senior role create moderate applicant density and competition.
Requires specialized ML/AI expertise so skills are moderately transferable but domain experience matters.
Explicit 9+ years requirement plus mandatory ML, LLM, cloud, and deployment skills makes filtering strict.
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Own the design, development, and deployment of AI/ML applications leveraging language and vision models for information retrieval.
Transform data science prototypes and perform feature engineering to feed predictive algorithms and improve self-learning AI applications.
Integrate ML models at scale within application flow, perform statistical evaluation and refine models continuously.
Minimum 9 years of hands-on experience in AI, Machine Learning, and Data Science.
Proficient in Python programming and related ML libraries; experience in software architecture design and testable code writing.
Strong knowledge of AI technologies including Generative AI, NLP, Computer Vision, and experience with AI platforms (TensorFlow, PyTorch), cloud AI services (AWS, GCP, Azure), and containerization.
Bachelor's or Master's degree in Computer Science, AI/ML, Data Science or related field.
Experienced in handling distributed, cloud-native, auto-scalable ML systems with deployment via CI/CD pipelines on AWS or similar cloud platforms.
Demonstrates strong expertise in advanced feature engineering, statistical analysis, and applying machine learning algorithms across large annotated datasets.
Able to work with cutting-edge AI technologies and deliver measurable impact through scalable AI/ML applications in business contexts.