Software Engineer

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.