Machine Learning Engineer Post by Infosys

Job Description

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 and Professional 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

Preferred Skills:

• Analytics->Machine Learning

Work Experience:

• 2-5 Years

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

Educational Requirements:

• Bachelor of Engineering

Service Line:

• Data & Analytics Unit