Job description
How about joining ASTEK Polska’s community of Data Scientists?
Salary:
- up to 850 PLN net + VAT/MD (B2B) depending on your professional experience
Work model:
- Remote
About the project:
We are looking for a highly skilled and dedicated Data Scientist to join our newly formed GenAI solutions development team that will be building cutting-edge applications leveraging Large Language Models (LLMs). We will be building GenAI solutions end-to-end: from concept, through prototyping, productization, to operations. The ideal candidate will bring technical expertise in Natural Language Processing (NLP), especially leveraging Large Language Models (LLM) and proficiency in prompt engineering techniques.
Your day-to-day responsibilities include:
- Collaborate with ML & MLOps engineers, product owners, and other developers in Agile teams to integrate LLMs into scalable, robust, fair and ethical end-user applications, focusing on user experience, relevance, and real-time performance
- Design, develop, customize, optimize, and fine-tune LLM-based and other AI-infused algorithms tailored to specific use cases such as text generation, summarization, information extraction, chatbots, AI agents, code generation, document analysis, sentiment analysis, data analysis, etc.
- Design data pipelines to curate, preprocess, and structure datasets that improve LLM-based algorithms performance and reduce biases, with a focus on data quality and diversity
- Develop and optimize prompts to guide LLM outputs, enhancing performance for specific tasks, working closely with subject matter experts, business analysts, prompt engineers and other stakeholders
- Conduct rigorous experimentation, including A/B testing, to evaluate algorithm performance against benchmarks and control groups; use metrics specific to generative AI as well as pre-GenAI techniques, as required
- Apply software development best practices, including writing unit tests, configuring CI/CD pipelines, containerizing applications, setting up cloud infrastructure and APIs; ensure robust logging, experiment tracking, and model monitoring
You’re ideal for this role if you have:
- 3+ years working with advanced machine learning algorithms
- 3+ years of hands-on experience working with language models, especially those based on Transformer architectures (e.g. BERT, T5, RoBERTa), and at least 1 year of experience with generative large language models (eg. GPT, LLaMA, Claude, Cohere, etc.)
- Advanced proficiency in Python and experience with deep learning frameworks such as PyTorch or TensorFlow; expertise with Transformers architectures, LangChain, or similar LLM ecosystems; experience with designing end-to-end RAG systems using state of the art orchestration frameworks (hands on experience with fine-tuning LLMs for specific tasks and use cases considered as an additional advantage)
- Practical overview and experience with AWS services to design cloud solutions, additional Azure skills useful; experience with working with GenAI specific services like Azure OpenAI, Amazon Bedrock, Amazon SageMaker JumpStart, etc.
- Strong skills in data manipulation, annotation, and crafting datasets that maximize LLM effectiveness; experience in working with data stores like vector, relational, NoSQL databases and data lakes through APIs
- Solid foundation in natural language processing, including tokenization, embeddings, attention mechanisms, and transfer learning specific to LLMs
Your personality:
- You are a team player
- You are focused on long-term cooperation
- You easily adopt to changes
Added value for you:
- Long-term cooperation
- Possibility to choose preferred type of cooperation (regular job contract with all benefits or flexible B2B contract)
- Technical trainings, certificates and upskilling
- Competence Center mentoring- you will be a member of CC community from the first day of your work. You’ll have a chance to develop your skills, participate in various conferences and share your knowledge and experience with people who face the same challenges in their daily work
- Clear career path
- Employee benefits package
- Friendly work atmosphere, social events and team-building meetings
Need more information? Contact me: katarzyna.jaroszewska@astek.net
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