MACHINE LEARNING ENGINEER WITH ENGLISH AND SPANISH
Descripción de la oferta de empleo
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
Requirements
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
Benefits
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
Detalles de la oferta
- Babel Profiles S.L
- 21/05/2024
- 19/08/2024
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