We are looking for an experienced Data Scientist Architect to lead the design and implementation of enterprise-scale Data Science and Data Engineering solutions.
Key Requirements
8+ years of experience in Data Science & Data Engineering
Expert-level proficiency in Python & R
Strong understanding of distributed computing and large-scale data processing
5+ years of experience in MLOps & ML Productionization
Strong experience with CI/CD for Machine Learning
Expertise in Data Architecture & Real-Time Streaming
Experience with Kafka and Spark Streaming
Strong experience with AWS / Azure / GCP
Hands-on experience with Docker & Kubernetes
Robust knowledge of System Design, Model Governance,
Security & Scalability
Excellent leadership and communication skills
Experience leading cross-functional teams and defining technical standards
Must-Have Skills:
Python | R | Data Science | Data Engineering | MLOps | ML Productionization | CI/CD | Data Architecture | Kafka | Spark Streaming | AWS | Azure | GCP | Docker | Kubernetes