Consultant

JD Machine Learning Engineer

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.

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

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.

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

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

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 competitive. We value intellectual curiosity, initiative and entrepreneurial drive! Candidates must be open to domestic and international travel as per requirements.