Requirements: English
Company: SoftwareMill
Region: remote, poland ,
Our offer
- Salary ranging from 1140 to 1425 PLN net per day for start
- 100% remote company with a remote-first mindset
- Full-time but not necessarily 9-17, we are flexible
- Professional development and freedom in choosing the toolset and tech stack
- Learning-culture expressed by internal workshops, talks and the technical reading clubs
- Small teams without PMs, no procedures, and no other corporate ''goodies'' we all love
- Best tools you need to make your work pleasurable and effective: monitor(s), workstation of your choice
- Dev-friendly environment with passionate and skilled people who believe in clean code and software craftsmanship - you will have a chance to meet some of them during the recruitment process
- Interesting projects with technologies like Tensorflow, PyTorch, OpenCV, Pandas, scikit-learn
What we expect
- You are knowledgeable about production-grade Machine learning inference and model training lifecycle.
- A minimum of 4 years of hands-on experience in production projects as a Machine Learning Engineer, Data Engineer, or Data Scientist.
- At least 5 years of overall experience in software development.
- Strong experience in Python programming language.
- Experience with HuggingFace.
- Strong experience in PyTorch or Tensorflow.
- Strong experience in NLP (beyond LLMs / Transformers) and/or CV (beyond convolution networks)
- Strong experience with the following libraries: numpy, pandas/polars, opencv, spacy/nltk, scikit-learn, seaborn/matplotlib.
- Experience with LLMs and prompt engineering.
- Excellent problem-solving and analytical skills.
- Knowledge of data analysis, statistics and data visualisation (descriptive statistics, statistical tests, plotting, dashboards, etc.).
- Good knowledge of English is a must (both spoken and written), we work with clients from all over the world (USA, Australia, Switzerland, etc.)
- Polish language is required, as internally we are a Polish-speaking company
- This is a full-time position requiring exclusive commitment.
Nice to have
- Experience with Azure Cloud, Google Cloud, or AWS
- Experience with OpenAI platform (or alternative).
- Experience with data processing pipelines.
- Experience with parameter efficient fine-tuning and techniques like knowledge distillation, transfer learning, multi-task learning
- Experience with deployment of ML models for large-scale production projects
- Knowledge of best practices and tools for Python/ML project management e.g. poetry, pyenv, pipenv, uv, rye, commit hooks, hydra/omegaconf
- Demonstrated experience with MLOps frameworks, either cloud based (AWS Sagemaker, GCP Vertex AI, Azure ML) or on-premise open source versions (ZenML, MLFlow, Neptune, WeightsBiases).
- Knowledge of a 2nd programming language like Scala, Java or Rust
- Engagement in the IT community: personal blog, speaking at meetups/conferences, active member of StackOverflow, involvement in the open-source projects
- Having a pet-project
Proven track of scientific publications in the ML area
Interest in Big Data
Our offer
- Salary ranging from 1140 to 1425 PLN net per day for start
- 100% remote company with a remote-first mindset
- Full-time but not necessarily 9-17, we are flexible
- Professional development and freedom in choosing the toolset and tech stack
- Learning-culture expressed by internal workshops, talks and the technical reading clubs
- Small teams without PMs, no procedures, and no other corporate ''goodies'' we all love
- Best tools you need to make your work pleasurable and effective: monitor(s), workstation of your choice
- Dev-friendly environment with passionate and skilled people who believe in clean code and software craftsmanship - you will have a chance to meet some of them during the recruitment process
- Interesting projects with technologies like Tensorflow, PyTorch, OpenCV, Pandas, scikit-learn
,[] Requirements: Machine learning, Clean Code, PyTorch, pandas, scikit-learn, Python, Hugging Face, NLP, NumPy, spaCy, Matplotlib, Analytical skills, TensorFlow, Azure Cloud, Google cloud, AWS, MLOps, Cloud, AWS SageMaker, AI, Open source, MLflow, Scala, Java, Rust, Big data, GCP Tools: Jira, Trello, Github, Confluence, Wiki, GitHub, Bitbucket, GIT, Jenkins, GitLab, Agile, Scrum, Kanban. Additionally: Small teams, Friendly atmosphere, Sport subscription, Training budget, Flat structure, International projects, No dress code, Office located anywhere you want :), You can own your air conditioning panel, Zero commuting :)