Python Machine learning Engineer

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 Financial Services strong business acumen and excellent soft skills Exposure to Technology

Key Responsibilities:

• 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
• Agile trained to manage team effort and track through JIRA
• High Impact Communication Assesses the target audience need prepares and practices a logical flow answers audience questions appropriately and sticks to timeline

Technical Requirements:

• Technical knowledge has expertise in cloud technologies specifically MS Azure and services with hands on coding to
• 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
• Understand and take requirements on Operationalization of ML Models from Data Scientist
• Help team with ML Pipelines from creation to execution
• List Azure services required for deployment Azure Data bricks and Azure DevOps Setup
• Assist team to coding standards flake8 etc
• Guide team to debug on issues with pipeline failures
• Engage with Business Stakeholders with status update on progress of development and issue fix
• Automation Technology and Process Improvement for the deployed projects
• Setup Standards related to Coding Pipelines and Documentation
• Adhere to KPI SLA for Pipeline Run Execution
• Research on new topics services and enhancements in Cloud Technologies

Additional Responsibilities:

• Master s degree in Computer Science Engineering with Relevant experience in the field of MLOps Cloud
• Domain experience in Capital Markets Banking Risk and Compliance 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

Preferred Skills: