ML Engineer
hace 1 mes
vLex is a global legal intelligence platform that provides legal professionals with access to the most extensive collection of legal and regulatory information in the world, all on one award-winning and unique platform. vLex develops cutting-edge technology, including artificial intelligence and data analytics, to help millions of users access the most relevant and accurate information.
At vLex, we pride ourselves on being at the forefront of legal technology. Our cutting-edge artificial intelligence (AI) solutions are designed to empower legal professionals, streamline workflows, and provide unparalleled access to the knowledge and resources necessary for success.
Our customers include legal professionals, academics, governments and enterprises in over 70 countries. We provide case law, legislation, books, journals and legal news, and build intelligent software to streamline and enhance legal research.
The Role: ML EngineerJoin our team of innovative developers building cutting-edge products that leverage machine learning and large language models. You'll work with Python, Java, VespaAI, AWS, LLMS (ChatGPT, Claude 2) to create robust, scalable solutions that push boundaries. This is a chance to play a key role in developing technology that shapes the future while working in a fast-paced, collaborative environment focused on rapid iteration.
We rely on AWS to handle infrastructure so we can concentrate on creating truly remarkable products powered by the latest advancements in AI. If you're a talented developer eager to work with some of today's most exciting tech, this is the team for you
The Tech Stack
We build our products using Python and Java, enabling robust and performant code leveraging VespaAI's machine learning capabilities. Our tech stack runs on AWS, allowing us to focus on rapid iteration while relying on AWS for security, availability and scalability. vLex also takes advantage of the latest LLM technologies from OpenAI and Anthropic to develop class leading products and service.
Responsibilities:
- Develop and productionise scalable machine learning systems using tools like VespaAI, Python, Java
- Leverage large datasets across case law, legislation, regulations, journals and news to generate ML models
- Work closely with business leaders, engineers and content teams to identify and execute high-impact AI products and services
- Implement robust model monitoring, testing, auditing and other controls for quality
- Follow model and data governance, ethics and compliance best practices
Requirements:
- MS/PhD in Computer Science, Maths, Physics or related technical field
- 5+ years building commercial or research ML applications
- Expert in algorithms like classification, NLP, graph neural networks etc.
- Experience with ML platforms like Vespa, TensorFlow, PyTorch
- Ability to translate business needs into ML solutions
- Comfortable organising, analysing and visualising complex data
- Fluent in Java/Python and familiar with unit testing.
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