ClearML
Junior Data Scientist
Remote | $76K - $154K
Qualifications
- Critical thinking and problem-solving skills are also required
- Entry-level role, remote opportunity
- Familiar with Kubernetes and/or perhaps similar container system
- Strong math and analytical skills, with business acumen
- Strong communication and presentation skills
- Good problem-solving abilities
Responsibilities
- In this role, you will collaborate across our development and product teams and will have a chance to collaborate with our MLOPs experts working in the exciting areas of machine learning, deep learning, DevOps, and AI
- Research and analyze valuable data sources and automate processes
- Perform preprocessing of structured and unstructured data
- Review large amounts of information to discover trends and patterns
- Create predictive models and machine-learning algorithms
- Modify and combine different models through ensemble modeling
- Organize and present information using data visualization techniques
- Develop and suggest solutions and strategies to business challenges
- Work together with engineering and product development teams to build and test ML/DL solutions stretching the entire spectrum of ML operationalization from data processing, model training, hyperparameter tuning, deployment, and model management
- 11-50 employees
- Information Technology, Artificial Intelligence, Data Science, Machine Learning, Cloud Computing, Research & Development, Data Management
- Privately Held
- Tel Aviv
- Company Specialties:
Deep Learning, Computer Vision, Machine Learning, DL, ML, Data Science, Data Scientist, AI , Artificial intelligence, Neural Network, open source, MLOps, ML-Ops, Data Engineering, Data Science, NLP, Experiment manager, and Data Scientist
Company information
ClearML is the leading open source, end-to-end solution for unleashing AI in the enterprise, trusted by leading Fortune 500 companies, enterprises, academia, and innovative start-ups worldwide. Visit us at https://clear.ml and https://cleargpt.ai We enable customers to build continuous ML workflows -- from experiment management and orchestration through data management and scheduling, followed by provisioning and serving -- to achieve the fastest time to ML production, fastest time to value, and increased performance. In this way, ClearML accelerates ML adoption across business units, helping companies reach their revenue potential and materialize their ML investments. With thousands of deployments and a vibrant, engaged community, ClearML is transforming the ML space -- bridging software, machine learning, and automation. To learn more, visit the company’s website at https://clear.ml. Get started with ClearML by using our free tier servers (https://app.clear.ml) or by hosting your own (https://github.com/allegroai/clearml-server).
