Data Scientist
There's no secret to become number-one, it takes willingness to improve and determination to pursue it. At GRiT®, it's all about the journey getting there. We trust talent and intelligence are important, yet passion and perseverance are key to achieving any goal.
We are Tech Passionate People with a Purpose, delivering solutions while building strong long-term relations.
Recognizing each person's unique contribution to our collective success, we embrace inclusion and diversity, committed to creating a respectful and socially responsible environment.
People. Technology. Innovation. All-around it.
Are you GRiTTY enough to be part of our journey?
Take the first step by applying now and let's create our future together.
Job Description:
We are looking for a Data Scientist with hands-on experience in Data Science and Machine Learning, capable of developing Transformer and LLM models using frameworks such as PyTorch, TensorFlow, or JAX, and with strong Python skills. The candidate will work on innovative LLM projects (OpenAI, HuggingFace, Cohere, or equivalent), contributing directly to advanced technological solutions.
Must-Have:
Bachelor's degree in Data Science, Computer Engineering, Artificial Intelligence, or a related field.
+2 years of hands-on experience in Data Science and Machine Learning.
Experience in developing Transformer and LLM models.
Strong knowledge of Python.
Experience with relevant frameworks: HuggingFace Transformers, DeepSpeed, Megatron LM, FSDP, or similar.
Would be great if you have:
Experience with public cloud providers (Azure).
Experience with RAG databases.
What's in it for you:
Continuous Training and Certifications
GRiT Prizes: GRiT Baby Gift, GRiT Birthday Prize, GRiT Recommendation Prize
Exclusive Partnerships/Discounts: (Gym, Health, Well-being, Lifestyle, Financial, etc...)
Unique Events
Welcoming Office (Fruit, Coffee, Pool Table, etc.)
Competitive Compensation
Pay for Performance
#TechWithPassion - Fuel your fire, join our tech tribe
#ApplyHere:
Poderá encontrar o anúncio original publicado em: