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Machine Learning Engineer

Machine Learning Engineer

Infosys

6 - 8 years

8 - 10 Lacs

Bengaluru

Posted:2 months ago| Platform:

Apply

Skills Required

Machine Learning Logging R MLOps Azure Architecture Package Management SQL Python

Work Mode

Work from Office

Job Type

Full Time

Job Description

Educational Requirements

MCA,MSc,Bachelor of Engineering,BBA,BCom

Service Line

Data & Analytics Unit

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

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

Technical and Professional 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 Masters degree in Computer Science Engineering or equivalent

Domain experience in Retail, CPG and Logistics etc.

Azure Certified DP100, AZ/AI900

Preferred Skills:

Technology->Data Science->Machine Learning

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Machine Learning Engineer