<Prompt Engineering Jobs/>
πŸ‡΅πŸ‡± Senior Gen AI Data Scientist (TBD) - Prompt Engineering Jobs πŸ‡΅πŸ‡± Senior Gen AI Data Scientist - Prompt Engineering Jobs

πŸ‡΅πŸ‡± Senior Gen AI Data Scientist Full time

Mobica
Poland
TBD

Job Description

We are looking for a skilled Data Scientist to join our Generative AI team to build LLM-based enterprise solutions. Main responsibilities would be testing, fine-tuning and deploying generative AI models, in addition to collaborating with cross-functional teams to define project requirements and objectives, ensuring alignment with overall business goals.

Responsibilities

- Conceptualize, prototype, and work with state-of-the-art LLMs to drive technical solutions
- Enhance and innovate existing model completions with prompt engineering or prompt tuning techniques
- Develop performance monitoring and evaluation pipelines to ensure the quality and effectiveness of generative models
- Stay up-to-date with the latest research and advancements in Generative AI and actively contribute to upskilling of the team

Requirements

- Minimum of BSc or higher degree in STEM subjectβ€―
- Proficient in Python
- Solid knowledge of machine learning concepts (model training, hyper parameter optimisation, experiment tracking, learning curves, etc.) with a focus on NLP and Gen AI
- Familiarity with RAG-based chatbots
- Experience with large language models - chatgpt, llama, falcon, BARD, etc.
- Experience with deep learning frameworks - Tensorflow, Pytorch, Keras, HuggingFace, LangChain etc.
- Familiarity with NLP tasks - NER, POS tagging, Classification, Topic Modeling, Summarization, Question-Answering, etc.
- Can conceptualise, formulate, prototype and implement algorithms to solve technical problems.
- Writing and debugging Python/SQL code adhering to best coding practices (debugging, unit testing, etc.)
- Data Wrangling skills (NULLs, duplicates, outliers, regex cleaning, etc.)
- Example of building models and data pipelines.
- Experience with NLP tasks - NER, POS tagging, Classification, Topic Modeling, Summarization, Question-Answering, etc.
- Experience with large language models - GPT3, Word2Vec, GloVe, BERT, etc.
- Experience with deep learning frameworks - Tensorflow, Pytorch, Keras, HuggingFace, etc.
- Experience with version/source control using Git.

- Experiment tracking (using mlflow, comet, Neptune, tensorboard, weights & biases, sagemaker, etc.)

Nice to have:
- Experience with cloud platform, particularly Azure
- Experience deploying machine learning models through REST API
- Understanding of Agile methodologies

Benefits

- Competitive salary adequate to your skills and performance
- Flexible working hours
- Training programs
- Private medical insurance
- Multisport program
- English lessons
- Company social events
- Weekly cakes and fruits
- Relocation assistance