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Tier-1 brand and metro location increase competition, while seniority and niche ML-platform specialization moderate it.
Specialized ML-platform and large-scale data-lake experience is transferable but favors domain-experienced candidates.
Explicit 10+ years and mandatory ML production/platform tooling expertise make shortlisting highly strict.
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Design, build, and scale a modern Data & ML platform enabling thousands of users to create ML experimentation pipelines with self-service capabilities.
Develop and maintain scalable ML pipelines for data preparation, cataloging, feature engineering, model training, and model serving impacting critical business decisions.
Collaborate with Data Scientists, Software Engineers, and Threat Analysts to ensure production success bridging model development and operations; plan for future generative AI use cases such as modeling attack paths for IT assets.
Bachelor's degree in Computer Science, Data Science, Statistics, Applied Mathematics, or related field with 10+ years experience; OR Master's degree with 8+ years; OR Ph.D. with 6+ years experience.
3+ years experience developing and deploying machine learning solutions in production environments.
3+ years experience with ML platform tools such as Jupyter Notebooks, NVidia Workbench, MLFlow, Ray, or Vertex AI.
Experience with distributed computing and orchestration technologies (e.g., Kubernetes, Airflow) and proficiency in Python; Java/Scala experience recommended.
Experienced in building large-scale data platforms and ML infrastructure with distributed systems knowledge, including tools like Apache Spark, Flink, and familiarity with Iceberg storage format.
Strong software engineering background, able to modularize complex ML code into reusable components and champion best development practices including CI/CD and containerization (e.g., GitHub Actions, Docker).
Collaborates effectively with cross-functional teams to translate stakeholder needs into scalable, production-grade software and solutions within a cloud-first environment.