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Senior, niche ML role with specific transformer and production requirements reduces broad applicant density.
Advanced ML/NLP and transformer production experience give strong domain specificity and limited cross-industry transferability.
Explicit 8+ years overall, 5+ years ML, and mandatory tech stack and deployment skills increase filter strictness.
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Lead strategic decision-making and align multiple ML/AI projects with business goals.
Own and architect end-to-end ML/AI solutions, integrating models into business applications.
Coordinate cross-team efforts to ensure scalable, effective AI implementations and mentor teams.
8+ years industry experience with minimum 5 years focused on AI/ML solutions and leadership.
Proficient in Python and ML libraries including TensorFlow, PyTorch, XgBoost, Scikit-learn, Spark ML, Git, MLFlow.
Experience with cloud platforms like Azure and Databricks, data analytics tools such as Spark and Pandas.
Work Experience Required: 8+ years with 5+ years in AI/ML as specified in the JD.
Demonstrated ability to architect and deliver ML solutions from concept to deployment, driving cross-functional collaboration.
Experience optimizing production ML systems for performance, scalability, and reliability with mentoring responsibility.
Knowledge or experience in NLP applications (e.g., Named Entity Recognition, document classification) and legal domain ML is advantageous.