Intern working on developing an AI assistant for electric drive systems at BMW in Munich. Collaborating on specifications, testing, and data analysis in a full - time capacity.
About the role
- AI Engineer responsible for developing scalable AI systems and applications powered by LLMs. Supporting PEXA's mission in revolutionising property settlement in Australia.
Responsibilities
- Design and implement AI/ML models - including Large Language Models - to solve real business challenges.
- Build scalable, efficient AI systems and pipelines optimised for LLM workloads.
- Select and apply the right tools, frameworks, and platforms (e.g. AWS Bedrock, Snowflake Cortex).
- Write clean, testable code and apply best practices in LLM development and prompt engineering.
- Optimise model performance, scalability, and efficiency to meet enterprise demands.
- Prepare, manage, and secure data - from preprocessing to storage - for AI and LLM training.
- Deploy and integrate AI solutions across cloud, on-premise, and edge environments, including API development.
- Stay ahead of AI/LLM advancements, pilot new technologies, and identify innovative use cases.
- Collaborate with data scientists, engineers, and product teams, and communicate insights clearly to all audiences.
- Apply responsible AI practices, addressing bias, transparency, and compliance in all solutions
Requirements
- Master's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related field. Specialisation in Natural Language Processing or Machine Learning with a focus on LLMs is a plus.
- Demonstrated experience with Large Language Models (LLMs) and Natural Language Processing (NLP) is highly preferred.
- Proven experience with a range of machine learning algorithms (e.g., regression, classification, clustering, deep learning, NLP, computer vision), including experience with LLM architectures and techniques.
- Experience with deep learning frameworks such as TensorFlow, PyTorch, Keras, etc., especially in the context of NLP and LLMs.
- Experience with cloud platforms and deploying AI solutions in cloud environments is required, with specific experience on platforms like AWS Bedrock and Snowflake Cortex being a significant advantage.
- Strong programming skills in languages such as Python, Java, or C++, with proficiency in NLP libraries (e.g., spaCy, NLTK, Transformers library) essential.
- Experience with data processing and manipulation tools and libraries (e.g., Pandas, NumPy, Spark), particularly for text data processing.
- Familiarity with software engineering principles, DevOps practices, and version control systems (e.g., Git).
Benefits
- Quarterly wellness days to recharge
- Four weeks Workcation per year – work from an approved country
- Take the opportunity to purchase up to four weeks additional annual leave per year
- Learn from the best and upskill with PEXA Academy certifications and grow your career
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