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Data Scientist - GenAI solutions development team
Odpowiedz na ogłoszenietechnologies-expected :
- Python
- AWS
- NLP
- TensorFlow
- PyTorch
- Transformer
- LLM
- Azure OpenAI
about-project :
- The newly formed Use Case Delivery Team will be tasked with building innovative GenAI applications. 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.
responsibilities :
- 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
- Implement techniques to identify and mitigate biases in LLM outputs, ensuring responsible and ethical AI deployment
requirements-expected :
- 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 (e. g. 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
- Practical overview and experience with AWS services to design cloud solutions
- Experience with working with GenAI specific services like Azure OpenAI, Amazon Bedrock, Amazon SageMaker JumpStart
benefits :
- remote work opportunities
- flexible working time
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