Extelligence is an intelligent partner that goes the extra mile. We provide customized information management solutions for major industries. Our team in Prague and Bucharest is working with international companies, transforming, and adding value to their business on a daily basis. We are growing quickly, and we are interested to bring more talented individuals into our team.
Skills and Experience:
- Bachelor’s or master’s degree in Computer Science, Engineering, or a related field.
- 3+ years of experience as a Machine Learning Engineer or a similar role.
- Proficiency in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn.
- Strong understanding of MLOps best practices and experience with relevant tools, including Kubeflow, Seldon, MLFlow, Docker, and Kubernetes.
- Experience with cloud platforms, especially GCP, and familiarity with cloud-based ML services.
- Knowledge of data processing, ETL, and feature engineering techniques.
- Excellent problem-solving and analytical skills, with the ability to work effectively in a fast-paced, collaborative environment.
- Strong communication and interpersonal skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Preferred Skills:
- Experience in deploying ML models at scale using serverless technologies or other cloud-based solutions.
- Familiarity with data visualization tools such as Matplotlib, Seaborn, or Plotly.
- Knowledge of software development best practices, such as version control (Git), continuous integration, and automated testing.
Responsibilities:
- Proficiency in Python and experience with machine learning frameworks such as TensorFlow, PyTorch, and scikit-learn.
- Strong understanding of MLOps best practices and experience with relevant tools, including Kubeflow, Seldon, MLFlow, Docker, and Kubernetes.
- Experience with cloud platforms, especially GCP, and familiarity with cloud-based ML services.
- Knowledge of data processing, ETL, and feature engineering techniques.
- Excellent problem-solving and analytical skills, with the ability to work effectively in a fast-paced, collaborative environment.
- Implement and optimise MLOps pipelines using open-source tools such as Kubeflow, Seldon, MLFlow, Docker, and Kubernetes.
Working with Extelligence:
- We take care of the important things that matter to contractors, for example, we guarantee on-time payment for your work. You will never have to chase us for payment.
- We always seek to have long term relationships with our team and we always seek to offer opportunities to extend cooperation beyond the first contract or project.
- Extelligence is a multicultural team, we have more than 15 different nationalities working with us.
- We also organize events to bring our team together including team building activities and social events.