Senior Data Scientist with NLP

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. 

Primary qualifications:

• 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

It is great if you have:

• experience with DevOps / MLOps tools and practices (e.g. Docker, Kubernetes, MLFlow, KubeFlow, DVC)
• familiarity with a deep learning framework (Tensorflow, PyTorch)
• experience in using additional data science related libraries (e.g. nltk, opencv, scikit-image, gensim, plotly, seaborn, xgboost, lightgbm)
• strong general software development skills and knowledge of best practices
• algorithmic and code optimization skills
• knowledge of a cloud platform and experience in running cloud-based projects (GCP, AWS, Azure)

Salary:

19 000 - 30 000 PLN + VAT (B2B)

We offer you:

• 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
• friendly atmosphere
• MultiSport 
• LuxMed