Senior Gen AI Data Scientist

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

Qualifications_

Must have:

• Minimum of BSc or higher degree in STEM subject 
• 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

Additional Information_

What you can expect from us?

• Learning by doing – you will work with industry experts who are willing to share their knowledge and experience
• Improving your skills by participating in training and mentoring programs
• Advancing your career by choosing from different career paths (technical, management)
• Broadening your horizons by working in an open and supportive multicultural environment
• Commercial projects from the domain
• Great atmosphere and supportive environment
• Working in a friendly and relaxed atmosphere created by a lot of bonding events and activities

What do we offer?

• 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

Job Reference: ref990l