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AI / ML Engineer
Gurgaon
Job No. atci-4533242-s1759123
Full-time
Job Description
Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Advance Front End Development NodeJs
Good to have skills : NA
Minimum 2 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: The Front-End Engineer (FED) focuses on developing and maintaining the user interfaces for the simulation components, ensuring an intuitive and user-friendly experience. Roles & Responsibilities: - Design and develop user interfaces for simulation components. - Collaborate with UX/UI designers to ensure a seamless user experience. - Implement front-end features and functionality using relevant frameworks and tools. - Optimize front-end performance and responsiveness. - Work with back-end engineers to integrate front-end and back-end components. Professional & Technical Skills: - Strong expertise in front-end development (HTML, CSS, JavaScript). - Proficiency with front-end frameworks and libraries (React, Angular, Vue.js). - Experience in building and optimizing user interfaces for simulation systems. - Good understanding of UX/UI principles. - Ability to work collaboratively with cross-functional teams. - Must To Have Skills: Proficiency in Advance Front End Development NodeJs. - Good To Have Skills: Experience with cloud-based AI services. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - A 15 years full-time education is required.
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Advance Front End Development NodeJs
Good to have skills : NA
Minimum 2 year(s) of experience is required
Educational Qualification : 15 years full time education
Summary: The Front-End Engineer (FED) focuses on developing and maintaining the user interfaces for the simulation components, ensuring an intuitive and user-friendly experience. Roles & Responsibilities: - Design and develop user interfaces for simulation components. - Collaborate with UX/UI designers to ensure a seamless user experience. - Implement front-end features and functionality using relevant frameworks and tools. - Optimize front-end performance and responsiveness. - Work with back-end engineers to integrate front-end and back-end components. Professional & Technical Skills: - Strong expertise in front-end development (HTML, CSS, JavaScript). - Proficiency with front-end frameworks and libraries (React, Angular, Vue.js). - Experience in building and optimizing user interfaces for simulation systems. - Good understanding of UX/UI principles. - Ability to work collaboratively with cross-functional teams. - Must To Have Skills: Proficiency in Advance Front End Development NodeJs. - Good To Have Skills: Experience with cloud-based AI services. - Strong understanding of statistical analysis and machine learning algorithms. - Experience with data visualization tools such as Tableau or Power BI. - Hands-on implementing various machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering algorithms. - Solid grasp of data munging techniques, including data cleaning, transformation, and normalization to ensure data quality and integrity. Additional Information: - A 15 years full-time education is required.
Qualifications
15 years full time education
Please be informed that at any given point in time, you can only have one "Active" application.
Please be informed that at any given point in time, you can only have one "Active" application.