Position Details
About this role
This role involves building and operationalizing scalable data and AI solutions on cloud-native platforms, supporting generative and agentic AI, and collaborating across teams to deliver innovative AI-driven applications.
Key Responsibilities
- Develop data pipelines and AI services
- Implement machine learning solutions
- Support MLOps practices
- Build secure APIs
- Collaborate with cross-functional teams
Technical Overview
The technical environment includes cloud platforms (AWS, Azure, GCP), containerization with Docker and Kubernetes, data architectures like data lakes and streaming platforms, and AI technologies including generative and agentic AI.
Ideal Candidate
The ideal candidate is a hands-on AI & Data Engineer with 2+ years of experience in data engineering or AI development, proficient in Python and cloud-native technologies. They are collaborative, eager to learn, and capable of building scalable AI solutions using modern infrastructure.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Less than 2 years of relevant experience, Lack of experience with cloud platforms (AWS, Azure, GCP), No experience with data pipelines or AI solutions, Inability to work in an undefined or unknown work mode
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