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
