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1823 Infosys Jobs

Machine Learning Engineer

6-8 years

Bangalore / Bengaluru

Machine Learning Engineer

Infosys

posted Few hours ago

Job Role Insights

Flexible timing

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

    Employment Type: Full Time, Permanent

    Read full job description

    Infosys Machine Learning Engineer Interview Questions

    A Machine Learning Engineer was asked
    9mo ago
    Q. Explain the Random Forest algorithm.
    A Machine Learning Engineer was asked
    9mo ago
    Q. What are the evaluation metrics for classification?
    A Machine Learning Engineer was asked
    10mo ago
    Q. What are the parameters of a random forest?
    View all

    What people at Infosys are saying

    Machine Learning Engineer salary at Infosys

    reported by 77 employees with 1-5 years exp.
    ₹3 L/yr - ₹11.3 L/yr
    38% less than the average Machine Learning Engineer Salary in India
    View more details

    What Infosys employees are saying about work life

    based on 42.7k employees
    73%
    89%
    67%
    90%
    Flexible timing
    Monday to Friday
    No travel
    Day Shift
    View more insights

    Infosys Benefits

    Submitted by Company
    5 Days Working
    Flexible Working Hours
    Maternity, Paternity and Adoption Leave
    Transportation
    Submitted by Employees
    Work From Home
    Cafeteria
    Health Insurance
    Soft Skill Training
    Gymnasium
    Job Training +6 more
    View more benefits

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    Headquarter
    Infosys, Plot No.44 Hosur Main Road, Electronics City Bengaluru
    Karnataka 560100
    Bengaluru Office
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