MLE/MLOps, OOPs Python, Data Bricks,Azure

Job Description:

• We are looking for smart self driven high energy people with top notch communication skills intellectual curiosity and passion for technology in Machine Learning Space
• Our analysts have a blend of in depth domain expertise in one or more areas in Retail and CPG Domain strong business acumen and excellent soft skills Exposure to Technology
• Technical Skills
• Must Have Skills
• MLOps Implementation and Support Experience
• Python Programming Expert and Experienced 4 5 years
• DevOps Working knowledge with implementation experience 1 or 2 projects a minimum
• Hands On MS Azure Cloud knowledge
• Operations Experience if any
• List Azure services required for deployment Azure Data bricks and Azure DevOps Setup
• Well verse in coding standards flake8 etc
• Automation Technology and Process Improvement for the deployed projects
• Agile trained to manage team effort and track through JIRA
• Nice to have Skills
• Understanding of any one of domain Eg Retail Supply chain Logistics Manufacturing
• Soft Skills
• Strong verbal and written communication skills with the ability to work well in a team
• Strong customer focus ownership urgency and drive
• Ability to handle multiple competing priorities in a fast paced environment
• Work well with the team members to maintain high credibility
• Work Experience
• 3 5 years of experience in Machine Learning Azure and MLOps

Key Responsibilities:

• Understand the requirements from the business and translate it into an appropriate technical requirement
• Responsible for successful delivery of MLOps solutions and services in client consulting environments
• Define key business problems to be solved formulate high level solution approaches and identify data to solve those problems develop analyze draw conclusions and present to client
• Assist clients with operationalization metrics to track performance of ML Models
• Help team with ML Pipelines from creation to execution
• Guide team to debug on issues with pipeline failures
• Understand and take requirements on Operationalization of ML Models from Data Scientist
• Engage with Business Stakeholders with status update on progress of development and issue fix
• Setup Standards related to Coding Pipelines and Documentation
• Research on new topics services and enhancements in Cloud Technologies

Technical Requirements:

• Educational Requirements any of the following
• Bachelor of Engineering Bachelor of Technology in any stream with consistent academic track record
• Bachelor s degree in a quantitative discipline e
• g
• Operation Research Statistics Mathematics or significant relevant coursework with consistent academic track record
• Additional Academic Qualification good to have
• Masters in any area related to Science Operation Research Mathematics and Statistics with consistent academic track record
• PhD in any stream

Preferred Skills:

Technology->Analytics - Functional->Business Analyst