Machine Learning Application Engineer Opportunity 2025 | Apple is hiring Machine Learning Application Engineer. The working location is Hyderabad, India. Interested candidates can apply online as soon as possible. The detailed eligibility and application process are given below.
Machine Learning Application Engineer Job Openings At Apple | Hyderabad -Overview
| Company Name: | Apple |
| Job Role: | Machine Learning Application Engineer |
| Location: | Hyderabad |
| Work Mode: | On-site |
| Last Date to Apply: | ASAP |
Job Description
- Imagine what you could do here at Apple, new insights have a way of becoming excellent products, services, and customer experiences very quickly. What inspires you? Creating something new and finding solutions to sophisticated problems? Bring passion and dedication to your job and thereβs no telling what you could accomplish. IS&T Corporate Systems team is looking for a creative and motivated Software Engineer with excellent problem solving and social skills.
Skills Required:
- Bachelorβs degree in Computer Science or equivalent work experience.
- 4+ years of professional experience as a Software Engineer in AI or ML Platforms
- 4+ years of professional experience API development for serving generative models using Java, Springboot framework
- Prior experience of working with machine learning & LLMs
- 4+ years of professional experience in developing data pipelines and working with streaming data processing frameworks like Apache Kafka, Flink, or Spark.
Job description:
- As a Software Engineer you will be responsible in building the next generation of intelligent systems for Appleβs corporate applications. You will work in a dynamic environment to take an ideation to implementation in a multi-functional environment. The ideal candidate will be self-motivated, pro-active and solution oriented. Attention to detail and dedication to providing a high-quality, stable delivery are essential. You will be challenged to find creative solutions to technical problems, feel comfortable working with sophisticated systems and large data sets, collaborating in a team environment. We promote innovation to improve our product performance and stay deeply focused on delighting our users.
