Data Scientist - AI - LLM Solutions
Role details
Job location
Tech stack
Job description
Join our expert team to work on an AI-focused initiative, contributing to the development of an end-to-end transcription analysis solution. You will apply your knowledge of Large Language Models, AWS cloud services, and data pipelines to deliver scalable and reliable AI systems.
At ERNI, you are never just a number. Even if you work on an external project, you will feel part of the team and always supported.
How do we make this happen?
With people. Besides your team and manager, you will have several support figures like a godparent, who will help you with the practical and administrative aspects of daily life during your first 6 months.
And the second most important person after you, your mentor, who will guide you through your entire onboarding and career at ERNI. You will have regular 1:1 meetings with them, and recurrently, you will work on your development plan to define your short-, medium-, and long-term goals.
At ERNI, we highly value experience and technical knowledge. As a senior profile, you will have the space to continue growing, whether by deepening your technical skills or having greater influence on project decisions, with autonomy and the opportunity to share knowledge with other experts. And if you are interested in mentoring, there is also space for that: supporting other ERNIans while still focusing on the technical excellence that sets us apart., You will be responsible for implementing and productionizing an LLM-based transcription analysis solution. Developing and maintaining end-to-end pipelines on AWS while integrating transcription data sources and persisting results in Snowflake. Ensuring quality, scalability, performance, and continuous evolution of the solution while collaborating with international and cross-functional teams.
Requirements
- Strong experience with Python for data processing and AI development
- Hands-on experience building end-to-end data pipelines in AWS environments
- Knowledge of LLMs, NLP, and prompt engineering for text and transcription analysis
- Experience working with Snowflake and advanced SQL
- Professional proficiency in English and Spanish
Benefits & conditions
We work on a wide variety of projects, technologies, and sectors, allowing you to keep growing in different environments. If a project ends or you feel ready for a new challenge, we will find another one that aligns with your professional development.
Our working model
We ask you to be available for key meetings. Need to leave for a doctor's appointment or to pick up your child from school? No problem. We trust you to deliver quality work within your 40-hour workweek.
Our model is hybrid: we usually go to the office 2 days a week, though this depends on the project and team, but we love seeing each other's faces; the best stories always happen in the office!
You will also enjoy:
We cover your certifications and reward technical achievements up to €1,400. Private health and travel insurance. Full coverage for sick leave + 1 extra day off per month without medical leave. ️ Free emotional, legal, and family support. ️ ️ Gym discounts + sports compensation. Flexible remuneration: meals, transport, childcare, etc. Referral bonuses: up to €6,000 per candidate and €5,000 per client. 23 working days of vacation. ️ Free language courses: English, Spanish, Catalan and German.