🛠 Tech Stack

💼 About This Role

You'll design scalable data and ML architectures on cloud and on-premise platforms for enterprise clients. Your work will drive AI transformations across industries like Healthcare, Retail, and Manufacturing. This role offers strategic technical leadership on high-impact customer engagements.

🎯 What You'll Do

• Design and implement data and AI/ML architecture solutions.
• Lead complex customer engagements with strategic technical vision.
• Define data lifecycle processes: ingestion, storage, processing, visualization.
• Ensure solutions adhere to security and compliance frameworks.
• Mentor and guide cross-functional technical teams.

📋 Requirements

• 7+ years of experience in solutions architecture with Big Data and cloud platforms.
• Proficiency in data engineering and analytics on AWS, GCP, or Azure.
• Hands-on experience with Kubernetes, Docker, and containerized applications.
• Proficiency in Python, Java, or TypeScript for backend development.

✨ Nice to Have

• Experience with Generative AI implementations.
• Knowledge of graph databases (Neo4j, AWS Neptune).
• Familiarity with Terraform or AWS CDK.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter Screen· 30 min
2. 2Technical Interview· 60 min
3. 3Hiring Manager Interview· 45 min