Bachelor’s or Master’s degree in Computer Science, Software Engineering, Machine Learning, or related field.
8+ years of software development experience with a focus on software engineering and machine learning.
Expertise in developing large-scale, distributed computing systems.
Proficiency in designing, implementing, and supporting scalable systems.
Familiarity with embeddings, retrieval algorithms, agent frameworks, and data modeling for vector databases.
Proven track record in architecting and deploying intelligent systems, from strategy to execution.
Strong proficiency in languages like Python, Java, or similar, with a solid understanding of frontend frameworks.
Deep knowledge of ETL and software engineering tools, including Apache Spark, Kafka, and Airflow.
Familiarity with machine learning frameworks such as TensorFlow, PyTorch, and Scikit-learn.
Experience with agent-based AI frameworks like CrewAI and Langchain, along with LLMs and LGMs.
Skilled with cloud platforms (AWS, GCP) and containerization tools (Docker, Kubernetes).
Passion for solving complex problems and uncovering hidden insights through data.
Ability to translate technical AI concepts into clear, business-focused insights and communicate effectively with stakeholders.
Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.