These are the top products that go into movies, special effects, architecture, interior, product design or anything else 3D-related. After numerous awards, articles, and praises, they are continuing their growth and need a Data Scientist/ MLOps Engineer to take part in an entirely new R&D AI-driven Platform.
- Design, develop, and optimise data pipelines for processing, cleaning, and transforming large-scale datasets, including 3D and visual imagery.
- Collaborate with ML engineers and data scientists to understand their data requirements and develop solutions to support their needs.
- Implement and maintain ML infrastructure, including model training, validation, and deployment pipelines.
- Monitor deployed ML models and ensure their reliability, scalability, and performance.
- Be up-to-date with the latest developments and best practices in data engineering, ML, and MLOps.
- Collaborate with cross-functional teams to identify areas for improvement and optimization in the data and ML infrastructure.
- 5+ years of experience in data science, machine learning, or a related field.
- Strong expertise in data processing, data pipelines, and data storage technologies.
- Proficiency in Python, SQL, and machine learning frameworks such as TensorFlow or PyTorch.
- Familiarity with MLOps best practices, including continuous integration, continuous deployment, and monitoring of machine learning models.
- Excellent problem-solving skills and ability to work independently as well as in a team.
- Strong communication, collaboration, and leadership skills, with the ability to guide and mentor team members.
- Additional health insurance.
- Flexible working hours and additional days off.
- Technical training and certifications.
- Play and relax area in the office.
- Special Discounts.
...and many more if you're up to it.
Let's talk whenever at email@example.com
(No. 2709 from 17.01.2019)