Hello Professionals ..,
I am looking to hire # Machine Learning Engineer #position.
Please find the below Job Description and share me the Profiles if your consultants are interested.
Client:Kraft Heinz
Implementation:Infosys
Job Title:Senior Machine Learning Engineer
Work Location:Chicago, IL (Hybrid Position)
Duraton:6+ Months
Detailed Job Description:
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.
We are looking proactive and customer focused individual who has a great affinity towards various
Retail, CPG, Logistics process innovation
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
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.
