• US Citizen

• Green Card

• EAD (OPT/CPT/GC/H4)

• H1B Work Permit

• Corp-Corp

• W2-Permanent

• W2-Contract

• Contract to Hire

• Consulting/Contract

• UG :- - Not Required

• PG :- - Not Required

• No of position :- ( 1 )

• Post :- 3rd Apr 2024

· Master’s degree in Computer Science Engineering, with Relevant experience in the field of MLOps /
Cloud
· Domain experience in Retail, CPG and Logistics etc.
· Exposure to US/ overseas markets is preferred
· Azure Certified – DP100, AZ/AI900
Domain / Technical / Tools Knowledge:
· Object oriented programming, coding standards, architecture & design patterns, Config
management, Package Management, Logging, documentation
· Experience in Test Driven Development and experience in using Pytest frameworks, git version
control, Rest APIs
· Azure ML best practices in environment management, run time configurations (Azure ML &
Databricks clusters), alerts.
· Experience designing and implementing ML Systems & pipelines, MLOps practices
· Exposure to event driven orchestration, Online Model deployment
· Contribute towards establishing best practices in MLOps Systems development
· Proficiency with data analysis tools (e.g., SQL, R & Python)
· High level understanding of database concepts/reporting & Data Science concepts
· Hands on experience in working with client IT/Business teams in gathering business requirement
and converting into requirement for development team
· Experience in managing client relationship and developing business cases for opportunities
· Azure AZ-900 Certification with Azure Architecture understanding is a plus
We are looking proactive and customer focused individual who has a great affinity towards various
Retail, CPG, Logistics process innovations. The candidate will also play a significant role in refining our
MLOps services for the Retail, CPG, Logistics Sector. The candidates should have prior relevant work
experience, excel in ambiguous situations, and possess a passion for helping companies become more