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Qualifications Listing
Individuals at this job must be responsible for designing and implementing the component specifications of various elements of data architecture such as databases, data warehouses, data lakes and data pipelines. They are also responsible for updating and migrating the data architecture based on standards and the organization‟s requirements. They need to be well organized with excellent critical thinking and decision making abilities. They need to have superior team management and communication skills to work with customers and decision makers across multiple teams
Individuals at this job will be responsible for storing data (public / private, consumer / enterprise) from a variety of internal and external sources in databases. They will be responsible for updating information and maintaining the database. They will be responsible for creating and administering access rules for the database based on the requirements of the team(s) using it. They will need to have strong communication skills to work with stakeholders and decision makers across multiple teams to ensure timely release of applications.
Individuals at this job are responsible for working on different aspects of data architecture. They will be responsible for developing data integrations such as data warehouses or data lakes for storing data, or data pipelines for performing operations on data in real-time. They will need to have strong communication skills to work with stakeholders and decision makers across multiple teams to ensure timely release of applications.
Individuals at this job are responsible for importing data (public / private, consumer / enterprise) from various internal and external sources. They are responsible for preprocessing the data to meet the desired quality standards or as desired for analysis. They need to have good communication skills to work with stakeholders across multiple teams such as data sciences, product development, etc.
Individuals at this job are responsible for performing different elements of data science. They are responsible for importing data (public / private, consumer / enterprise) from a variety of internal and external sources. They are responsible for preprocessing the data and performing exploratory analysis on it to derive insights. Their key responsibility is conducting research on different algorithmic models, modifying existing libraries or packages to optimize them and designing new algorithmic models based on requirements. They will need to have strong communication skills to work with stakeholders and decision makers across multiple teams to ensure timely release of applications.
Nature:
The programme encompasses people’s skills, trust, and ability to use technologies responsibly and effectively for broader socio-economic benefits. It has been developed in collaboration with INTEL Technologies India Pvt. Ltd., aiming at Empowering the future workforce with necessary Artificial Intelligence skills for employability in the digital economy.
Purpose:
● Gain AI technical confidence: Demystify AI and equip the future workforce with the confidence to learn and apply AI skills independently.
● Enhance employability for AI-related jobs: Build necessary technology, career growth and social skills on AI for jobs ahead.
Produce evidence for employment: Demonstrate solutions through AI projects capturing industrial or Social impact.
An AI Devices Installation Operator is responsible for collecting and analyzing the data from the customers for installation of AI devices, their usage and application in the customer business scenario.
An AI Devices Installation Operator is responsible for collecting and analyzing the data from the customers for installation of AI devices, their usage and application in the customer business scenario.
Individuals at this job are responsible for managing production systems. They will be responsible for developing tools, processes and mechanisms for continuous integration and delivery of applications. They will be responsible for building the CI/CD pipeline and configuring the various components of the pipeline. They will work with software developers, IT operations teams and other staff to oversee code release and deployment and hence require strong technical and project management skills.
Individuals at this job are responsible for developing applications and platforms in AI & Machine Learning. They will be responsible for evaluating the technical performance of algorithmic models on the system on which it is being deployed. They will be responsible for developing, designing, building, testing and deploying AI solutions.
Individuals at this job are responsible for developing applications and platforms in AI & Big Data Analytics. They will be responsible for evaluating the technical performance of algorithmic models on the system on which it is being deployed. They will be responsible for developing software code to support the deployment of algorithmic models on those systems. They will need to have strong communication skills to work with stakeholders and decision makers across multiple teams to ensure timely release of applications.
An AI & ML – Jr. Telecom Data Analyst is responsible for using the relevant Artificial Intelligence (AI) technologies for collecting, processing, and obtaining statistical information from datasets. The individual draws actionable insights and presents the data to the stakeholders for decision-making.
An AI & ML – Jr. Telecom Data Analyst is responsible for using the relevant Artificial Intelligence (AI) technologies for collecting, processing, and obtaining statistical information from datasets. The individual draws actionable insights and presents the data to the
stakeholders for decision-making
