Would you like to join a cutting-edge tech project with a positive impact?
From Newtral , Trueflag emerges as a spin-off with the mission of using artificial intelligence (AI) to combat disinformation and fake news.
We are looking for a Senior ML Engineer who combines expertise in handling large datasets with a strong business and customer-oriented mindset.
What do we offer?
Be part of an innovative project where your work will have a direct positive impact.
Join a leading engineering team that is diverse and fosters a great working environment.
100% remote work from anywhere in Spain, with the option to work from a co-working space in Madrid.
Off-sites and team-building events.
Flexible working hours.
Competitive salary aligned with the market and your seniority level.
We are looking for a Data Scientist with expertise in language technologies and Generative AI As part of our AI team, you will join a group of passionate professionals exploring the potential of natural language processing (NLP), Generative AI, and multimodal models to detect fake news.
You will collaborate with data scientists, data engineers, MLOps specialists, and fact-checkers to design the next generation of intelligent systems capable of automated fact-checking.
Your mission will be to develop AI/NLP models and libraries to support the intelligent services and agents we are building.
Requirements: Proficient in Python programming with over 5 years of experience.
In-depth knowledge of machine learning techniques, algorithms, and natural language processing (NLP).
Skilled in data science libraries and frameworks such as Numpy, Pandas, Scikit-learn, Matplotlib, Spacy, Torch, and Keras (3 years of experience).
Expertise in NLP and deep learning frameworks and platforms, including LangChain and Hugging Face.
3 years of experience using NLP models like BERT, GPT, and Sentence-BERT for vector search.
Proven ability to fine-tune ML models to optimize accuracy and F1 scores.
Strong skills in rapid prototyping and deploying NLP and ML applications.
Experience in constructing and curating large-scale machine learning datasets.
Collaborative mindset, working closely with product architecture teams to integrate research and development into products.
Bonus points: Experience building Retrieval-Augmented Generation (RAG) models.
Expertise in designing and implementing vector databases (Pinecone, ElasticSearch, FAISS, etc.).
Familiarity with multi-agent conversation frameworks and/or multi-agent LLM applications (e.g., AutoGen, CrewAI, AIbitat).
Are you ready to take on this challenge?