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Machine Learning Engineer with English and Spanish
hace 3 meses
Are you enthusiastic about tackling complex challenges and thriving within an international team of innovative developers dedicated to constructing cutting-edge products that harness the power of machine learning and large language models?
If your answer is yes, then come aboard
We are currently searching for a Machine Learning Engineer to join an exceptional company with a robust AI platform, regularly updated legal information, and a global reach spanning over 70 countries. Their diverse customer base includes legal professionals, academics, enterprises, and governments.
Tasks- Design and deploy scalable machine learning systems using tools such as VespaAI, Python, and Java for production environments
- Analyze and translate customer requirements into practical solutions that effectively address their problems
- Utilize extensive datasets encompassing case law, legislation, regulations, journals, and news to develop machine learning models
- Collaborate with business leaders, engineers, and content teams to identify and implement impactful AI products and services
- Establish and maintain rigorous controls, including model monitoring, testing, auditing, and other quality measures
- Adhere to best practices in model and data governance, as well as ethical and compliance standards
- Hold a Master's or Ph.D. degree in Computer Science, Mathematics, Physics, or a closely related technical field
- Possess 5 years of experience in developing both commercial and research-oriented Machine Learning applications
- Demonstrate expertise in various algorithms, including but not limited to classification, Natural Language Processing (NLP), and graph neural networks
- Proficient in utilizing Machine Learning platforms such as Vespa, TensorFlow, and PyTorch
- Capable of translating business requirements into effective Machine Learning solutions
- Skilled in organizing, analyzing, and visualizing complex datasets
- Fluent in programming languages such as Java and Python, with a solid understanding of unit testing
- Knowledgeable about version control systems like Git and Graphite
- Experience working with containerization tools, particularly Docker
Flexible working hours and remote working flexibility
Our recruitment process:
- Step 1: Interview with one of our recruiters to get to know you better
- Step 2: Interview with the Hiring Manager
- Step 3: Technical Test
- Step 4: Technical Interview
- Step 5: Interview with CTO
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