Cloud Data Engineer

Summary

Consults clients on AI and data transformation, designs PoCs with Python/Flask/FastAPI/Streamlit, and deploys solutions on AWS/GCP/Azure.

5+ years of Data consulting experience, or other relevant experience in AI & Analytics domain, with a proven track record of building and maintaining client relationships
Collaborate with customers and account partners to identify new Data and AI opportunities, and build proposals and pitch materials to position as a trusted partner for AI & Data transformation
Organize and lead educational and ideation AI and Generative AI workshops for customers
Understand customer's needs and assess their data maturity
Evaluate and recommend appropriate data pipelines, frameworks, tools and platforms
Lead data feasibility studies and PoC projects to demonstrate the value and viability of Data and AI solutions
Develop end-to-end AI PoC projects using Python, Flask, FastAPI and Streamlit
Have experience in cloud services of AWS / GCP / Azure to deploy PoCs and pipelines
Have experience with big data frameworks on premises and on cloud
Collaborate with AI architects and engineers to data scientist and develop Data and AI solutions tailored to the clients
Lead integration and deployment of data and AI products
Stay updated with the latest advancements in big data and GenAI along with best practices to develop thought leadership and PoV
Work with cross-functional team and partners to develop/ enhance and package AI offerings and assets for customer-facing discussions
In-depth understanding of big data technologies, streaming applications and data modelling