Senior Python Engineer with ML
technologies-expected :
- Python
- PySpark
- PyTorch
about-project :
- We are looking for an experienced Senior Python Engineer with ML to join the team with around 5 years of experience in creating solutions that enable customers to overcome financial distress.
responsibilities :
- Delivering AI solutions on Databricks.
- Testing and validating ML model workflows (mainly llama index; others too).
- Deploying AI and ML use cases.
- Implementing automated processes for tasks such as document checking/summaries, meeting preparation etc.
- Employee skill development and taking care of documentation.
- Performance tracking and analysis.
requirements-expected :
- Strong Python development skills (PySpark for data engineering, ML packages, PyTorch etc. ).
- Focus on Package development and working with LLMs (more fine tuning, not training models from scratch).
- Fundamental Databricks knowledge - familiarity with MLFlow and other functionalities.
- Gen AI expertise - preferably experience in development of Gen AI solutions.
- Solution architecture knowledge.
- Stakeholder engagement.
- Problem-solving skills.
- Compliance and regulatory awareness.
- Knowledge in banking.
- Possibility to travel to the customer twice a month.
offered :
- UoP or B2B contract - you decide.
- Remote work or working from our Bialystok, Warsaw or Wroclaw offices. It's up to you.
- English lessons with our native speaker. You'll meet Luke, he's great!
- Great working conditions and best equipment: Dell or MacBook, your choose.
- Training budget, dedicated trainings. We'll guide you and support your professional development.
- Private, comprehensive medical cover
- Physical and psychological care with Multisport Card and Hear Me application.
- And most important. . . You'll work with experienced, committed people who will appreciate you, your skills and knowledge and give you support when you need it
benefits :
- sharing the costs of sports activities
- private medical care
- sharing the costs of foreign language classes
- sharing the costs of professional training & courses
- life insurance
- remote work opportunities
- flexible working time
- fruits
- integration events
- computer available for private use
- corporate library
- no dress code
- video games at work
- parking space for employees
- leisure zone
- christmas gifts
- birthday celebration
- employee referral program
- charity initiatives
- family picnics
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