Machine Learning Engineer
hace 6 días
vLex is a pioneering legal intelligence platform that empowers legal professionals with unparalleled access to a vast collection of legal and regulatory information. Our cutting-edge technology, including AI and data analytics, enables millions of users to access relevant and accurate information.
We pride ourselves on being at the forefront of legal technology, leveraging AI solutions to streamline workflows and provide unparalleled access to knowledge and resources. Our customers span over 70 countries, including legal professionals, academics, governments, and enterprises.
The Role: ML EngineerWe're seeking a talented Machine Learning Engineer to join our team of innovative developers building cutting-edge products that harness the power of machine learning and large language models. You'll work with Python, Java, VespaAI, AWS, and LLMS to create robust, scalable solutions that push boundaries.
As an ML Engineer, you'll 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, allowing us to concentrate on creating truly remarkable products powered by the latest advancements in AI.
Key Responsibilities- Develop and productionize scalable machine learning systems using tools like VespaAI, Python, and 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
- 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 organizing, analyzing, and visualizing complex data
- Fluent in Java/Python and familiar with unit testing
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