Prismforce
Linkedin · Posted 1mo ago
Data Scientist - Gen AI
Continue to application
Add your email once, then Caio opens the original posting.
Indexed description
Responsibilities
- Fine-tune LLMs using techniques like LoRA and QLoRA.
- Evaluate and improve RAG (Retrieval-Augmented Generation) pipelines for groundedness, accuracy, and relevance.
- Apply transfer learning and transformer architectures in model development.
- Validate model accuracy and performance using appropriate metrics.
- Collaborate with product teams and communicate insights to senior leadership.
- Participate in problem-solving sessions and contribute innovative ideas.
- Maintain an experimental mindset and continuously explore new approaches.
- Identify and integrate relevant data sources to build meaningful datasets.
- Automate data collection and preprocessing for structured and unstructured data.
- Handle large-scale data to feed analytical and predictive models.
- Build and optimize machine learning and deep learning models, including NLP solutions.
- Bachelor's degree in a quantitative field (Computer Science, Engineering, Physics, Mathematics, Operations Research) or equivalent experience.
- 3-5 years of hands-on experience in Gen AI and NLP.
- Prior experience in startups or high-growth environments is a plus.
Create a free Caio profile to unlock more results and save your role and location preferences.
Unlock free search
Want help applying to roles like this?
Search Caio for free. If the repetitive CV tweaking gets heavy, Daniel can help set up Caio Agent.
Ask about Agent