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Apple Software Engineer - LLM India, Karnataka, Bengaluru 583442655
30.05.2024
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Description
- In this role you will be responsible for defining and developing ML Platform and frameworks for generative AI powered applications at Apple Product Operations. - You will be responsible in crafting, developing and maintaining our large-scale systems, storage, and integration services. - You will collaborate with diverse cross-functional partners, including model developers, machine learning systems engineers, data scientists, application developers and product managers.- You will work closely with the SRE team and develop monitoring and alerting on various applications and systems integrations.- You will have the opportunity to learn and work on the latest technologies, lead POCs to demonstrate new ideas and influence the future direction of our technology stack
Minimum Qualifications
- B.Tech. Degree in computer science or equivalent field with of 3 - 7 years hands-on programming experience.
- Deep experience developing large scale distributed computing systems.
- Strong software development, problem-solving and debugging skills with experience in one or more of the following languages: Java, Python, Go.
- Strong proficiency in LLM, embeddings, vectorization, vector stores, database optimization, performance tuning, and relevant query languages.
- Familiarity with embedding, retrieval algorithms, agents, data modelling for vector development graphs.
- Experience with LLM and other related frameworks like Langchain, LLamaIndex.
- Experience building cloud native platforms using containerization technologies like Kubernetes, docker, helm and well versed in AWS/GCP or Azure.
- Hands on experience in crafting, implementing and supporting highly scalable systems.
Preferred Qualifications
- Adept at quickly grasping and distilling highly complex matters into clean, understandable solutions
- Self directed, self motivated and detail oriented with ability to come up with good design proposals and thorough analysis of production issues
- Ability to thrive in a multi-functional team on high profile, critical projects.
- Candidate should be able to initiate and explore alternate technology and approaches to solving problems.
- Strong communication and Collaboration skills.
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