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Deep Learning Engineer
2 months ago
We are seeking a highly skilled Cybersecurity Research Engineer to join our team at Unlikely Artificial Intelligence Limited. As a key member of our Applied Science team, you will play a critical role in delivering model prototypes to production, designing and implementing new ML features, and ensuring the stability of our platform.
Key Responsibilities
- Implement, deploy, and monitor deep learning models, including Large Language Models (LLMs).
- Optimize model deployments and design deep learning model feature systems.
- Conduct comprehensive performance evaluations, focusing on latency and accuracy across different implementations.
- Communicate complex solutions to colleagues, facilitating collaboration and knowledge sharing.
- Analyze and inspect large-scale datasets, effectively managing data scalability and integrity.
Requirements
- 5+ years of experience in a Machine Learning/Research Engineer role.
- Experience utilizing and deploying deep learning models.
- Strong coding skills in Python, including the use of PyTorch or TensorFlow.
- Experience with MLOps, with strong expertise in Docker for containerization and orchestration.
- Knowledge of ML model deployment, including technologies such as Torchserve, Sagemaker, or VertexAI.
- Understanding of modern best practices for agile software development.
- Knowledge of the latest developments in NLP, including LLMs and the transformer architecture.
- SRE: An understanding of how to keep models stable and performant in production settings.
Desirable Skills
- Experience with building CI/CD workflows.
- Experience working in a startup environment.
- Experience with retrieval augmented generation for LLMs and semantic vector search.
- Experience optimizing model deployments in terms of latency and throughput.
- Infrastructure-as-code tools, such as Terraform.
About Unlikely Artificial Intelligence Limited
We are a deep tech startup working to create a world where highly intelligent automated systems enable humanity to flourish and benefit us all. We are pioneering transformative technology aimed at making Artificial Intelligence more accurate, trustworthy, and safe. Our company culture values diversity, inclusivity, and collaboration, and we are committed to providing a supportive and challenging work environment for our team members.
