We are looking for a ‘Data Scientist’ skilled in Gen AI Engineering with strong expertise in Python, Azure cloud technologies, Fast API, SQL Server, and modern data engineering practices. The ideal candidate should have experience building scalable cloud-native data pipelines, API-driven architectures, and AI-ready data solutions to support analytics and Generative AI workloads.
Location – Bengaluru/ Gurugram
Your Future Employer –
A leading global AI and analytics organization helping enterprises transform through advanced analytics, cloud engineering, and Generative AI solutions.
Responsibilities –
Design and develop scalable cloud-native data pipelines on Microsoft Azure.
Build and maintain RESTful APIs using Rapid API for AI/ML and analytics applications.
Develop ETL/ELT workflows using Azure Data Factory, Python, and Databricks.
Work with SQL Server, Cosmos DB, and Azure AI Search for high-performance data solutions.
Collaborate with cross-functional teams to deliver AI-ready datasets and scalable data architectures.
Requirements –




7+ years of experience in Data Engineering or Gen AI Engineering roles.
Strong hands-on expertise in Python, Rapid API, SQL Server, and Azure cloud services.
Experience with Azure Data Factory, Databricks (Py Spark), and API development.
Valuable understanding of Azure Cosmos DB and Azure AI Search concepts.
Exposure to Gen AI, vector search, embeddings, AI/ML data workflows, and cloud-based architectures.
What is in it for you –
Opportunity to work on cutting-edge Generative AI projects.
Exposure to enterprise-scale cloud and AI ecosystems.
Collaborative and innovation-driven work culture.
Career growth with emerging AI and cloud technologies.
Competitive compensation and learning opportunities.
Reach us –
If you think this role is aligned with your career, kindly write me an email along with your updated CV for a confidential discussion on the role.
Disclaimer –
Crescendo Global specializes in Senior to C-level niche recruitment. We are

📌 Data scientist (Gurugram)
🏢 Crescendo Global
📍 Gurugram