Job Description

Bengaluru, Karnataka, India
Job Type
Full Time
About the Role
leverage advanced analytics and machine learning techniques to develop smart risk assessment models. The role involves transforming complex data into actionable insights to optimize risk management strategies.


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.


Qualification : B Tech


Experience(in years) : 8


Skill Set Required : AI. ML and optimization



Requirements
leverage advanced analytics and machine learning techniques to develop smart risk assessment models. The role involves transforming complex data into actionable insights to optimize risk management strategies.

Key ResponsibilitiesDevelop 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 QualificationsBachelor'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 SkillsExperience 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 EnvironmentAgile, cross-functional squads. Hybrid work model with presence in Bengaluru office preferred.

Qualification : B Tech
Experience(in years) : 8
Skill Set Required : AI. ML and optimization
About the Company
Cigres Technologies Private Limited is a technology consulting and services company that focuses on helping clients resolve their significant digital problems and enabling radical digital transformation using multiple technologies on premise or in the cloud. The company was founded with the goal of leveraging cutting-edge technology to deliver innovative solutions to clients across various industries.