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Strong Tier-1 brand, metro location, and broad ML/data skill requirements increase applicant competition.
Role requires deep ML, data-pipeline, and cloud expertise, making cross-industry transfers limited.
Explicit 10+ years requirement and wide mandatory ML, data engineering, and cloud skills make filtering strict.
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Design, develop, and deploy advanced AI/ML models and scalable data pipelines to solve complex business problems.
Lead cross-functional AI solution design and implementation, representing technical expertise and driving enterprise-scale analytics initiatives.
Mentor junior team members and develop best practices and standards for consistent, governed AI model development and deployment.
Graduate degree in Computer Science, Data Science, AI, Engineering, or related discipline, or equivalent work experience.
10+ years of experience in machine learning, data science, or software engineering in large-scale or enterprise environments.
Proficiency with ML techniques (regression, classification, ensemble methods), Python, SQL, distributed computing (e.g., PySpark), and cloud platforms (Azure, AWS, GCP).
Work Experience Required: 10+ years relevant experience
Experienced in delivering end-to-end AI/ML solutions including data ingestion, feature engineering, model training, and deployment in cloud environments.
Capable of handling complex technical problems requiring evaluation of scalability, feasibility, and business impact.
Skilled in collaborating with cross-functional teams and mentoring others, with strong technical leadership in AI/ML initiatives.