Machine Learning Engineer

Job Description

Job Description: Who are we Infosys NYSE INFY is a global leader in consulting technology and outsourcing solutions with annual revenues of over 15 64 B as of 2022 We enable clients in more than 50 countries to stay a step ahead of emerging business trends and outperform the competition Infosys Recognized as one of the 2022 World s Most Ethical Companies for the Second Consecutive Year by Ethisphere What are we looking for Lead Machine Learning Engineer 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 Retail CPG Logistics strong business and technical acumen along with excellent soft skills What do we require To work with clients to understand the issues they face diagnose problems design solutions and facilitate solution deployment on Azure ML One can be an individual contributor or lead small teams depending on the project You will be pivotal to understanding the requirement problem definition and discovery of the overall solution One will also have the opportunity to shape value adding consulting solutions for clients by connecting various functions of cloud components Industry knowledge Knows basics of machine learning is aware of cloud services Azure services has a deep understanding of coding practices knows how to guide teams on debugging the issues can connect the dots to arrivie at a solution and is very good at presentation of the ideas thoughts and solutions Key Responsibilities: Technical knowledge has expertise in cloud technologies specifically MS Azure and services with hands on coding to Expertise in Object Oriented Python Programming with 4 5 years experience 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 Technical Requirements: Education and Experience Overall 6 to 8 years of experience in Data driven software engineering with 3 5 years of experience designing building and deploying enterprise AI or ML applications with at least 2 years of experience implementing full lifecycle ML automation using MLOps scalable development to deployment of complex data science workflows Bachelors or Master s degree in Computer Science Engineering or equivalent Domain experience in Retail CPG and Logistics etc Azure Certified DP100 AZ AI900 Additional Responsibilities: 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 and tools such a MLFlow Kubernetes etc 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: Technology->Data Science->Machine Learning