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Tier-1 brand, metro location, mid-level ML role, and broad ML skillset amplify competition.
Requires specialized ML/AI and production ML lifecycle expertise, limiting cross-industry transferability.
Explicit 5+ years and mandatory production ML/MLOps expertise make shortlisting highly strict.
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Design, develop, and deploy scalable machine learning models and data science solutions for platforms including Max, Discovery+, and Sports.
Build end-to-end ML workflows covering data preparation, feature engineering, model training, deployment, monitoring, and optimization.
Collaborate with data engineers, ML engineers, product managers, and business teams to deliver data-driven features and mentor junior data scientists.
Bachelor’s or Master’s degree in Computer Science, Data Science, Mathematics, Engineering, or related quantitative field.
At least 5 years of experience building data science models and deploying ML solutions in production environments.
Strong programming skills in Python, R, Scala, or similar and familiarity with ML frameworks like TensorFlow, PyTorch, Scikit-learn.
Experience with advanced ML techniques including recommendation systems, personalization, NLP, Generative AI, LLMs, deep learning, causal inference, and scalable ML pipelines.
Experience working on large-scale consumer platforms focused on personalization, customer growth, advertising, or content recommendations.
Proficient in MLOps concepts with hands-on experience in production ML systems and cloud-based ML platforms.
Ability to translate research-level AI and ML advancements into practical business solutions and to collaborate across functions and mentor junior members.