Artificial Intelligence Engineer
Employment type: Full time / Remote
We are looking for a highly capable machine learning engineer to optimize our machine learning systems. You will be evaluating existing machine learning (ML) processes, performing statistical analysis to resolve data set problems, and enhancing the accuracy of our AI software’s predictive automation capabilities. To ensure success as a machine learning engineer, you should demonstrate solid data science knowledge and experience in a related ML role.
Role and Responsibilities:
- Set up and manage our AI/ML development and production infrastructure.
- Build data ingest and data transformation infrastructure.
- Build AI models from scratch & create API putting results of your models into operations.
- Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
- Ensuring that algorithms generate accurate user recommendations.
- Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
- Running tests, performing statistical analysis, and interpreting test results.
- Documenting machine learning processes (github/ cloud)
- Take care of project planning and management; follow up on the progress of research done
- Present your research findings at international conferences
- Develop team-working, cooperation, morale and team-spirit
- Undertaking, supporting and writing research papers
- Assist/contribute in external research funding application and collaboration with the respective department
- You have an Engineering or Science Degree (PhD)
- You have acquired several years of (international) research experience after completing your doctorate
- You have published ambitious papers in internationally prestigious journals
- You are a mid/senior in the AI/ML engineer field with 3+ years of relevant experience
- You have a strong commitment need in meeting tight deadlines
- Advanced proficiency with Python, Java, and R code writing.
- Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture (like Keras or PyTorch, like scikit-learn).
- In-depth knowledge of mathematics, statistics, and algorithms.
- Superb analytical and problem-solving abilities.
- You are writing code the majority of your time.
- You are experienced in managing complex problems and leading change.
- You have a “getting things done” approach with a goal-oriented mindset and good communication skills.
- You understand data.
- You are experienced in data transformation processes (ETL).
- You are experienced in designing data pipelines.
- You bring your own ideas for research projects.
- You actively contribute to development activities.
- You are a hands-on leader that loves to be part of doing things together with your team
- Lead product development process to define technical design parameters, prioritize projects, assign task responsibility (including self), and meet product introductions deadlines
- Determine the direction of research. You contribute not only to the conceptual planning, but also to the practical realization of the research project.
- Mediate between the business development and research staff
- Build a team (internal & external associates) that will endlessly strive for improvement