Highly Skilled Data Scientist with Experience in Machine Learning
hace 3 semanas
Xe is seeking an experienced and skilled Machine Learning Engineer to join our XE Data Science team. Our ideal candidate will have a strong background in software engineering and machine learning, as well as experience working with cloud computing platforms such as AWS or GCP.
About the Role:This role will involve designing, building, and maintaining the infrastructure and processes required to successfully deploy and manage machine learning models in a production environment. This includes tasks such as building and maintaining a feature store, delivery pipelines, automating model training and evaluation, and monitoring model performance.
- Designing Real-Time Machine Learning Features: Build and maintain real-time machine learning features using production-level programming techniques.
- Managing the Creative Process: Design, develop, and maintain a central feature store.
- Automating Model Training and Evaluation: Automate the training, evaluation, and deployment of machine learning models.
- Monitoring Model Performance: Monitor and optimize the performance of machine learning models in production.
The ideal candidate for this role will have strong experience in both software engineering and machine learning, as well as a deep understanding of the challenges and best practices involved in deploying machine learning models in production. In addition, they should be able to work closely with data scientists and software engineers to ensure that machine learning models can seamlessly integrate into existing systems and processes.
About Xe:Xe is a forward-thinking company that values innovation and creativity. We are passionate about developing cutting-edge technologies that improve people's lives. As a member of our XE Data Science team, you will have the opportunity to work on challenging projects and contribute to the development of new products and services.
Requirements:- Strong knowledge of developing and maintaining API services in a cloud environment.
- Experience with relational and unstructured databases and data lakes.
- An understanding of business goals and how data policies can affect them.
- Effective communication and collaboration skills.
- Estimated annual salary: $120,000 - $180,000 depending on experience.
- Annual salary increase review.
- End of the year bonus (Christmas bonus).
- ESPP (Employee Stock Purchase Plan).
- Paid day off for birthday.
- 15 days vacation per year.
- Insurance guaranteed for employees (Health, Oncological, Dental, Life Insurance).
- No fee when using RIA service/wire transfers.
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