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Senior, specialized ML role at a Tier-1 brand balances brand visibility with niche senior requirements.
High—requires deep ML engineering, MLOps, cloud, and production model deployment skills limiting transferability.
Explicit 10+ years, senior ML experience and multiple mandatory technical and leadership skills enforce strict shortlisting.
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Own end-to-end delivery of scalable machine learning and generative AI solutions impacting business decisions.
Provide technical vision, leadership, and mentorship within the team on ML engineering and software development lifecycle.
Design and implement AI capabilities including predictive and optimization models operationalized using cloud technologies and data engineering pipelines.
Undergraduate degree in Computer Science, Master's in related engineering, or equivalent experience.
10+ years professional software engineering experience; 3+ years in Machine Learning Engineering or related fields.
Proficiency in Python, AWS, database technologies (Postgres, Redis), data processing tools like Sagemaker or Databricks.
Experience leading teams, agile and test-driven development, containerization (Docker), CI/CD, and communicating technical vision.
Senior technical leader comfortable providing strategic direction and mentorship within a distributed global AI engineering team.
Strong background in cloud architecture (AWS), MLOps, data engineering (SQL, ETL), and predictive/optimization modeling.
Operationally experienced in agile product environments delivering robust, maintainable ML software solutions impacting corporate functions.