Senior Data Scientist - Generative AI & LLMs

About the role

A company is looking for a highly experienced Senior Data Scientist with at least 3 to 7 years in data science and machine learning, ideally with work in NLP, generative AI, LLMs, MLOps, optimization techniques and AI solution architecture. The role centres on designing and implementing AI solutions, including generative AI models and systems, and requires strong collaboration with stakeholders, domain experts and software engineering and operations teams.

Key responsibilities

• Design and implement state-of-the-art AI solutions and assist in building AI models using LLMs and generative AI.
• Work with stakeholders to define AI project goals and identify business opportunities.
• Integrate with APIs and libraries such as Azure OpenAI GPT models and Hugging Face Transformers, and use vector databases such as Redis and NoSQL databases.
• Implement end-to-end pipelines for generative AI projects, including similarity search for retrieving relevant information.
• Evaluate advanced techniques such as transfer learning, domain adaptation and model compression, and set metrics for quality, coherence and relevance of AI outputs.
• Curate, clean and preprocess large datasets, and ensure data privacy, security and ethical compliance.

Required profile

• Bachelor's or master's degree in computer science, engineering or a related field; a Ph.D. is a plus.
• Minimum 3-7 years of experience in data science and machine learning.
• Strong collaboration with software engineering and operations teams, and excellent problem-solving and communication skills.

Required skills

• Python, R, TensorFlow or PyTorch; NLP frameworks such as BERT, GPT or Transformer models.
• Cloud platforms such as Azure, AWS or GCP.
• Data engineering: data curation, cleaning and preprocessing.
• Good to have: MIP optimization, DevOps and MLOps, CI/CD pipelines, Docker, Kubernetes, Git, Terraform or CloudFormation, and monitoring/logging tools.

To apply, candidates are asked to send their resume by email.