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Senior, highly specialized Principal ML role reduces candidate density despite Hyderabad metro location.
High since deep ML/LLM, Snowflake Cortex, and enterprise procurement data expertise are required.
High due to 15+ years requirement and many mandatory ML/LLM/platform technical skills.
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Own architecture and operationalization of scalable data pipelines, ML models, and LLM-powered agents within JAGGAER’s Source-to-Pay platform.
Lead data engineering and ML/LLM lifecycle including CI/CD, monitoring, drift detection, and cost/performance optimization at scale.
Influence technical direction as a senior leader, mentor Data & AI team members, and collaborate cross-functionally to deliver real-time AI insights embedded in customer applications.
Bachelor’s or Master’s degree in Computer Science, Statistics, Math, Data Science, or related field.
15+ years of experience designing and deploying production-grade ML or data engineering solutions with organizational technical leadership.
Proficiency in Python (Pandas, PySpark, scikit-learn, TensorFlow/PyTorch), SQL, and working knowledge of at least two platforms from OpenSearch, Snowflake (including Cortex AI), Redshift, Redis, Pinecone, SageMaker.
Experience with data governance, security best practices, Linux, Git, CI/CD, Docker, and orchestration frameworks (e.g., Airflow, Prefect, Kubeflow, Dagster).
Senior technical leader comfortable driving ambiguous, organization-wide AI/data initiatives and setting best practices across multidisciplinary teams.
Expert in full ML/LLM lifecycle from feature engineering through deployment, monitoring, and cost optimization, including cloud-native orchestration and containerization.
Experienced in production ML engineering within complex, enterprise-scale data domains, preferably with exposure to procurement or supply chain data and Agentic AI frameworks.