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Apple Sales - AI Architect LLM & Gen Singapore 24486544
25.03.2025
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Description
In this role, you will focus on the following key areas:- You’ll be working in a team of machine learning engineers of different specializations to prototype and ship world class algorithms that are state of the art.- Lead the exploration and application of Large Language Models and Generative AI, venturing into new areas within these fields, including multi modal capabilities.- Lead MLOps, automating ML pipeline, including the training, testing, deployment, monitoring, and scaling of AI models.- Turn prototypes into automation pipelines and deploying them to production; deciding when to use out-of-the-box solutions vs. building custom solutions and utilizing both.- Ongoing data analysis to build new or fine-tune existing models such as GPT to optimize results.- Actively engaging in all aspects of model development, from ideation and experimentation to deployment.
Minimum Qualifications
- Ph.D. in Computer Science, Artificial Intelligence, Machine Learning or related field; or
- M.S. in related field with 3+ years experience applying machine learning engineer to real business problems.
- Experience in identifying and delivering state-of-the-art product architecture for our end to end solutions.
- 5+ years building NLP/AI software professionally and successfully releasing to customers.
- 5+ years of hands-on experience in building scalable systems for training & evaluating of machine learning/deep learning models.
- Experience with state-of-the-art NLP algorithms and AI models, Multi-modal LLMs, Multi-modal contrastive learning, Foundation models, Diffusion based models and parameter efficient fine tuning of LLMs.
- Experience with Cloud technologies and familiarity with AWS & GCP.
Preferred Qualifications
- Familiarity with deploying model for large scale inferencing & optimizations.
- Solid understanding of inference speed up techniques such as speculative decoding and optimization of LLMs for human preferences.
- A strong track record of shipping products and publications / patents.
- Proactively address and reduce potential biases in model predictions, ensuring our products are inclusive and fair.
- Design and implement efficient data pipelines to support large language model training and inference.
- Strong proficiency in PyTorch, TensorFlow, Transformers, Kubernetes, Docker, LangChain, vectorDB and cloud platforms like AWS, GCP, or Azure, and Monitoring tool like Grafana, and CI/CD like airflow, gitlab, and Big Data management like Spark, Kafka.
- A thought leader having a good balance of business insight, domain and technical expertise.
- Excellent presentation, written and verbal communication, engagement and interpersonal skills along with validated skills in building great design.
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