One of our Innovative clients in Amsterdam is looking for an expert Data Scientist to join their cutting edge project. They are looking for a professional who thrives in a fast paced, collaborative environment.
Responsibilities:
- Create and optimize data sets.
- Develop and fine-tune models to achieve lower latency
- Aim to achieve a minimum Word Error Rate (WER) in multiple languages.
- Creating datasets for fine-tuning, with existing datasets, as well as creating with live and synthetic data.
Profiles:
- Ph.D. in a related field (Master's degree may be considered).
- Strong knowledge of Python, Pytorch, transformers and quantification techniques.
- Familiarity with Git, FastAPI and the ability to differentiate between Lora and Qlora, with practical application experience.
- Proficiency in running Large Language Models (LLM) and measuring speed (tokens per second) and latency.
- Experience setting up and managing datasets, including synthetic data generation.
- Preferred experience in working with voice models and data, VoIP and SIP.
Can this be interesting for you or anyone you know? If so, please send Gabriel Andrade: g.andrade@panda-int.com, your number/CV ASAP and I'll give you a call. Interviews will start next week.
Position: Data Scientist
Contract: Part-time
Location: Remote
Start Date: Immediately or by agreement
of our Innovative clients in Amsterdam is looking for an expert Data Scientist to join their cutting edge project. They are looking for a professional who thrives in a fast paced, collaborative environment.
Responsibilities:
- Create and optimize data sets.
- Develop and fine-tune models to achieve lower latency
- Aim to achieve a minimum Word Error Rate (WER) in multiple languages.
- Creating datasets for fine-tuning, with existing datasets, as well as creating with live and synthetic data.
Profiles:
- Ph.D. in a related field (Master's degree may be considered).
- Strong knowledge of Python, Pytorch, transformers and quantification techniques.
- Familiarity with Git, FastAPI and the ability to differentiate between Lora and Qlora, with practical application experience.
- Proficiency in running Large Language Models (LLM) and measuring speed (tokens per second) and latency.
- Experience setting up and managing datasets, including synthetic data generation.
- Preferred experience in working with voice models and data, VoIP and SIP.
Can this be interesting for you or anyone you know? If so, please send Gabriel Andrade: g.andrade@panda-int.com, your number/CV ASAP and I'll give you a call. Interviews will start next week.
Position: Data Scientist
Contract: Part-time
Location: Remote
Start Date: Immediately or by agreement