Requirements: English
Company: AVENGA (Agencja Pracy, nr KRAZ: 8448)
Region: Wroclaw , Lower Silesian Voivodeship
Wha we offer:
- Deep understanding of the domain knowledge in the field of molecular biology and biotechnology
- Exposure and hands on experience in the development of modern cloud data solutions
- Ability to deliver AI and ML solutions at scale
- Opportunity to work in an experienced and engaged team consisting of Data Engineers, Data Scientists, Machine Learning Engineers and stakeholders from different business domains
Location: Wroclaw (hybrid 1-2 day a week)
Requirements MUST HAVE:
- Minimum 2 years hands-on industry experience with ML, AI, MLOps or data science projects.
- Master degree in a quantitative field (e.g. computer science, mathematics, physics, engineering, bioinformatics).
- Expert and up-to-date knowledge of supervised and unsupervised machine learning techniques.
- Expertise in recommendation systems is a plus.
- Fluent in Python and in using common machine learning libraries (e.g., sklearn, pytorch/keras/tensorflow/opencv, etc.).
- Familiar with MLOps frameworks, machine learning model deployment formats as well as cloud based ML pipelines.
- Familiar with agile software development and knowledge of professional software development practices, tools for source control and project management especially Git and Azure DevOps
Wha we offer:
- Deep understanding of the domain knowledge in the field of molecular biology and biotechnology
- Exposure and hands on experience in the development of modern cloud data solutions
- Ability to deliver AI and ML solutions at scale
- Opportunity to work in an experienced and engaged team consisting of Data Engineers, Data Scientists, Machine Learning Engineers and stakeholders from different business domains
Location: Wroclaw (hybrid 1-2 day a week)
,[Data analysis: Collect, clean, and analyze large datasets to identify patterns and trends, Modeling: Develop predictive models and algorithms to solve complex business problems, whose solutions could stem from a variety of ML fields, Communication: Communicate findings and insights to stakeholders in a clear and concise manner, gather requirements on further adoptions and future work., Converting data into insights] Requirements: Data analysis, AI, MLOps, Data science, Machine learning, Python, PyTorch, Keras, Cloud, Git, Azure DevOps Additionally: Sport subscription, Training budget, Flat structure, Multisport card, Cafeteria system, Insurance, Integration events, Friendly atmosphere, Free coffee, Gym, Bike parking, Canteen, Modern office, No dress code.