Wrocław, Wrocław, Lower Silesian Voivodeship, Polska
STERMEDIA SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
2. 10. 2024
Informacje o stanowisku
technologies-expected :
BERT
AWS
Python
Container
Kubernetes
Docker
SQL
Git
technologies-optional :
MLFlow
KubeFlow
DVC
Tensorflow
PyTorch
Google Cloud Platform
Microsoft Azure
responsibilities :
You’ll be working on diverse machine learning projects for local and international companies as well as in academic research. This will involve different phases of the end-to-end delivery – direct contact with the client, business analysis of the problem, coming up with an appropriate solution, implementation and moving it to the production environment.
requirements-expected :
Master of Science in a technical field: computer science, mathematics, physics, and similar
Experience and practical knowledge of supervised and unsupervised machine learning / deep learning environments with practical experience and understanding of neural networks and natural language processing models, and related applications.
Practical working experience in analyzing different types of data forms – unstructured, semi-structured, and structured data.
Experience with natural language processing methodologies, including BERT, and have deep knowledge of comparing outcomes from different environments.
Practical understanding of the transformers, querying from LLMs, and combining Generative AI (not Open AI GPT) with Traditional Predictive / ML-based AI
Be able to construct, train an unstructured data model environment to perform sentiment analysis, named entity and object recognition, queries, classification, info extraction, etc.; molding with predictive AI to achieve our goals of extracting intelligence at speed from different data types.
Contribute and maintain whilst overseeing a high-quality code base supported with tests that will provide a high level of functional production environment coverage and supporting related work such as load testing, unit testing, integration testing etc.
Utilize programming languages and environments – AWS (high focus), and Python, Container Orchestration services (Docker and Kubernetes) in line with our current tech stack.
Commercial experience with Python and its data science-oriented packages – e.g. NumPy, Pandas, scikit-learn, Jupyter
Knowledge of basic statistical and probabilistic concepts (e.g. random variable, distribution, likelihood)
In-depth knowledge of a specific ML area (e.g.computer vision, NLP, reinforcement learning, mathematical modeling, time series, neural networks, gradient boosting)
Experience in projects using natural language processing or computer vision
Familiarity with relational databases and SQL
Experience in using Linux and command line
Familiarity with Git and Docker
Highly developed analytical thinking and problem-solving skills
Ability to work in a team
Willingness to learn and develop skills
Communicative English – minimum B2 level
offered :
Working with the newest machine learning technologies
Budget on self-development per year
Possibility to contribute to a variety of interesting projects
Internal workshops
Personal branding (articles, conference speaker, internal workshop leader)
Flexible work hours
Remote work possibility
Chillout room / free beverages / team & company events
