Role : Architect - Data Scientist

Experience : 8+ Years

Job Description:
• 8+ years of hands-on experience in Data Science and Data Engineering, with a

proven track record of designing and deploying enterprise-scale analytical

solutions.
• Expert-level proficiency in Python and R, alongside deep knowledge of Architectural

Patterns for distributed computing and large-scale data processing (a must-have

requirement).
• 5+ years of dedicated experience in MLOps and Productionalization, focusing on the

end-to-end lifecycle of machine learning models (CI/CD for ML).
• Strong understanding of Data Architecture, and real-time streaming architectures

(e.g., Kafka or Spark Streaming).
• Experience with Cloud Infrastructure (AWS/Azure/GCP) and containerization

(Docker/Kubernetes) to build scalable, resilient environment for model training and

inference.
• Excellent system design and analytical skills, with a focus on model governance,

security, and scalability of AI solutions.
• Superior communication and leadership skills, with the ability to align technical

roadmaps with business strategy and explain architectural trade-offs to executive

stakeholders.
• Proven ability to lead cross-functional teams, define technical standards, and drive

the adoption of innovative data technologies in a fast-paced environment.