AI Engineer
Romania, Hybrid, Hybrid
Your Impact:
- Understand the business problem, challenge of existing technologies and areas of application for AI technologies
- Identify and choose the right AI or cognitive computing technologies for solving problems and formulate AI recipes for development
- Develop required machine learning models or prototype applications applying formulated AI recipes and verify the problem/solution fit
- Set up and manage the AI development and production infrastructure
- Help product managers and business stakeholders understand the potential and limitations of AI when planning new products
- Build data ingest and data transformation infrastructure
- Identify new training datasets, problem transfer learning opportunities and adapt
- Build AI models from scratch, deploy them into production and help stakeholders understand the outcomes
- Create APIs and help business customers transfer results from the developed AI models to operations
-
Recommend AI that can improve the existent products.
- 4-5 years programming experience working on AI/MLproducts/models
- Solid programming language skills in at least one of the following Python, Java, C++
- Strong knowledge of machine learning related tools and frameworks for data management, visualization, implementation and performance evaluation, such as scikit-learn, numpy, pandas, OpenCV
- Experience building AI models in frameworks such as Keras, TensorFlow or Theano
- Unix or unix-like operating system
- Demonstrated ability to deliver working solutions on a tight schedule
- Very strong algorithmic thinking
- Experience with versioning tools (e.g. Git) preferred
- Solid understanding of data science process, statistical modeling, machine learning, deep learning and use of quantitative methods in business setting background is a plus
- Cloud development (Docker, Kubernetes) and using Cloud specific AI technologies (Azure Machine Learning Services, Google AI Platform, etc.).
Besides an exciting job in a tremendous team, here's what you can expect:
- A fast-paced tech environment
- Continuous growth & learning
- Open feedback culture
- Room for own initiative & ideas
- Transparency about results & strategy
- Recognition & reward for hard work
- Working with a flexible schedule
- Medical subscription
- Meal tickets
- Extra vacation days - starting with 25 vacation days
- Many others perks
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: APIs Azure Data management Deep Learning Docker Engineering Git Java Keras Kubernetes Machine Learning ML models NumPy OpenCV Pandas Pipelines Python R R&D Scikit-learn Statistical modeling Statistics TensorFlow Theano
Perks/benefits: Career development Flex hours Flex vacation
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.