Job Summary
SR
Demand ID
CU L4* HR L4 : ERS CU-DE-Data (HDU)-Data Engineering
Designation AI Engineer
Location: Location : PAN India (Prefer Noida or HYD)
Band & Sub Band Band : E2.2
Excalibur ID (New Project/Extension)* Experience : 6+ Years
Project Name & Code Project : BI_CSS_VolumeForecasting_FY26
No. of Positions: 3
Bill Start Date: BSD : 1st April 2026
Bill Rate Sell rate : /$33
Primary Skill Area: Primary Skill : Gen AI, Vector Database, LLM, ML, NLP
Secondary Skill Secondary Skill : Python, LangChain/AutoGen, RAG, API integration, prompt engineering
Skillset/JD: JD: An Azure AI Engineer is responsible for designing, developing, integrating, deploying, and optimizing AI and machine‑learning solutions on Microsoft Azure
Design and implement AI/ML solutions using Azure Machine Learning, Azure AI Studio, and Azure AI Services
Build and deploy Python-based ML models using Azure ML pipelines and SDKs
Utilize AI capabilities such as Vision, Language, Speech, and Document Intelligence to build intelligent applications
Monitor AI workloads using Azure Monitor, Application Insights, and Azure ML dashboards
Apply Responsible AI principles including fairness, transparency, and accountability in all AI solutions.
Reporting/Owner SAP id: RM : 51948803
To lead advanced data science initiatives, develop predictive models, and drive data-driven decision-making by extracting meaningful insights from complex datasets, enabling business growth and innovation.
Key Responsibilities
2. Design and optimize algorithms for data processing, feature engineering, and pattern recognition.
3. Lead data exploration, mining, and visualization to uncover trends and actionable insights.
4. Collaborate with cross-functional teams to integrate data science solutions into business strategies.
5. Drive innovation by leveraging advanced statistical techniques, deep learning, and big data technologies.
6. Ensure data integrity, governance, and best practices in model development and deployment.
7. Mentor junior data scientists and promote a data-driven culture within the organization.
8. Stay ahead of industry trends and emerging technologies to enhance analytical capabilities.