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About the Role
Key Responsibilities
• Develop and operationalize AI/ML models for Intelligent procurement platform by leveraging AWS cloud services, databricks, Langchain & Langraph.
• Build and maintain data pipelines for structured and unstructured data ingestion, preprocessing, and transformation.
• Implement and manage MLOps workflows including model lifecycle, observability, and explainability.
• Collaborate with cross-functional teams (analytics, business, infra) across phases: discovery, design, development, validation, deployment, and governance.
• Contribute to the AgentOps ecosystem: prompt registry, memory management, and agent configuration.
• Ensure compliance with governance, risk, and audit protocols.
Required Qualifications
• Bachelor’s/Master’s or PhD in Data Science, Computer Science, Statistics, or related field.
• 5+ years of experience in applied machine learning, statistical modeling, and data engineering.
• Proficiency in Python, SQL, and cloud platforms (AWS preferred).
• Experience with tools such as SageMaker, LangChain, Bedrock, OpenSearch, and Terraform.
• Strong understanding of procurement domain data: supplier performance, pricing trends, risk indicators etc.
• Familiarity with GenAI applications, semantic similarity, and graph-based recommendations.
Preferred Skills
• Experience with Agentic AI frameworks and multi-agent orchestration.
• Knowledge of procurement systems like Coupa, Synertrade and SirionLabs.
• Ability to design and implement continuous learning systems and feedback loops.
Work Environment
• Agile, cross-functional squads.
• Hybrid work model with presence in Bengaluru office preferred.
Requirements
Key Responsibilities
Develop and operationalize AI/ML models for Intelligent procurement platform by leveraging AWS cloud services, databricks, Langchain & Langraph.
Build and maintain data pipelines for structured and unstructured data ingestion, preprocessing, and transformation.
Implement and manage MLOps workflows including model lifecycle, observability, and explainability.
Collaborate with cross-functional teams (analytics, business, infra) across phases: discovery, design, development, validation, deployment, and governance.
Contribute to the AgentOps ecosystem: prompt registry, memory management, and agent configuration.
Ensure compliance with governance, risk, and audit protocols.
Required Qualifications
Bachelor’s/Master’s or PhD in Data Science, Computer Science, Statistics, or related field.
5+ years of experience in applied machine learning, statistical modeling, and data engineering.
Proficiency in Python, SQL, and cloud platforms (AWS preferred).
Experience with tools such as SageMaker, LangChain, Bedrock, OpenSearch, and Terraform.
Strong understanding of procurement domain data: supplier performance, pricing trends, risk indicators etc.
Familiarity with GenAI applications, semantic similarity, and graph-based recommendations.
Preferred Skills
Experience with Agentic AI frameworks and multi-agent orchestration.
Knowledge of procurement systems like Coupa, Synertrade and SirionLabs.
Ability to design and implement continuous learning systems and feedback loops.
Work Environment
Agile, cross-functional squads.
Hybrid work model with presence in Bengaluru office preferred.
About the Company