Machine Learning Engineer

AI-Bigdata Analytics Engineering

QP Code Q8113 NSQF Level 7

Brief Job Description

Individuals at this job are responsible for developing applications and platforms in AI & Big Data Analytics. S/he will be responsible for developing software code to deploy algorithmic models as per the needs of the business and evaluating the technical performance of the same

Personal Attributes

A Machine Learning engineer needs to have strong analytical and logical skills, attention to detail and problem solving ability. S/he needs to have good communication skills to work with various stakeholders that includes Data Scientists, Data Architects, Business Analysts etc. to ensure alignment on business objectives

Role Map

Technology AI-Bigdata Analytics

Job Category Engineering

Job Track ML Engineering

Roles

Machine Learning Engineer

NSQF Level: 7

Technical Competencies

Key job task/function that an individual has to perform as a part of the job. These are also known as National Occupational Standards (NOS).

8 8 Compulsory

Evaluate technical performance of algorithmic models

This unit is about measuring the technical performance of algorithmic models for deployment.

Compulsory NOS Code SSC/N8121 NSQF Level 7

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Develop software code to support deployment of algorithmic models

This unit is about developing software code to support the deployment of algorithmic models to meet specific requirements and constraints.

Compulsory NOS Code SSC/N8122 NSQF Level 7

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Manage your work to meet requirements

This unit is about planning and organizing your work in order to complete it to the required standards on time.

Compulsory NOS Code SSC/N9001 NSQF Level 4

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Work effectively with colleagues

This unit is about working effectively with colleagues, either in your own work group or in other work groups within your organization.

Compulsory NOS Code SSC/N9002 NSQF Level 6

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Maintain a healthy, safe and secure working environment

This unit is about monitoring your working environment and making sure it meets requirements for health, safety and security.

Compulsory NOS Code SSC/N9003 NSQF Level 4

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Provide information in standard formats

This unit is about providing specified data/information related to your work in templates or other standard formats.

Compulsory NOS Code SSC/N9004 NSQF Level 6

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Build and maintain relationships at the workplace

This unit is about building and maintaining constructive relationships at the workplace

Compulsory NOS Code SSC/N9006 NSQF Level 6

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Maintain an inclusive, environmentally sustainable workplace

The unit is about implementing and improving diversity equality and inclusion in a sustainable and environment friendly workplace

Compulsory NOS Code SSC/N9014 NSQF Level 5

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Supplementary Topics

Advanced topics that will help you excel in this role

Predictive Modeling and Analytics Machine Learning Algortihms and Modeling Applied AI Deep Learning

Popular Tools Used by Machine Learning Engineer

IDEs Jupyter Notebook RStudio Apache Maven

Machine learning and Analytics software/frameworks Spark KNIME

Machine learning and Neural Network frameworks and libraries PyTorch Caffe TensorFlow Keras