Navikara

Machine Learning Engineer

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Last date

26/06/2026

Openings

1 or more

Qualification

AI/ML

Post

Full Time

Overview

Job descriptionAs a Machine Learning Engineer, you will work on building intelligent systems to democratize AI across a wide range of solutions within AppleYou will drive the development and deployment of innovative AI models and systems that directly impact the capabilitie...

Company
Powered by Monster
Location
Ganganagar; Rajasthan; Uttar Pradesh
Salary
450000 - 850000 (per annum)
Skill Required
AI/ML
Duration
Not specified
Posted On
28/4/2026
Company Client
(On behalf of Applexus Technologies)
External Apply URL
True

Detail Fields

Sector: Other Service Activities Functional Area: Human Resources Functional Role: Fresher Total Experience In Years: 3 - 7 Nature Of Job: Full Time Gender Preferences: Any Ex Servicemen Preferred: No

Eligibility

Criteria Education: Job Requirement as per Employer posting Label Criteria Skill: Job Requirement as per Employer posting Criteria Experience: Job Requirement as per Employer posting Criteria Location: Job Requirement as per Employer posting Yes: No

Full Detail Text

Company Name: Powered by Monster (On behalf of Applexus Technologies) Click here for more details Job Title Machine Learning Engineer Organisation Type Sector Other Service Activities Functional Area Human Resources Functional Role Fresher Job Description Job descriptionAs a Machine Learning Engineer, you will work on building intelligent systems to democratize AI across a wide range of solutions within AppleYou will drive the development and deployment of innovative AI models and systems that directly impact the capabilities and performance of Apples products and servicesYou will implement robust, scalable ML infrastructure, including data storage, processing, and model serving components, to support seamless integration of AI/ML models into production environmentsYou will develop novel feature engineering, data augmentation, prompt engineering and fine-tuning frameworks that achieve optimal performance on specific tasks and domainsYou will design and implement automated ML pipelines for data preprocessing, feature engineering, model training, hyper-parameter tuning, and model evaluation, enabling rapid experimentation and iteration