Júnior Data Scientist
At Intelcia, a global leader with 20 years of success, we create an environment that attracts, welcomes, and nurtures talent within a culture of belonging, positivity, inspiration, and continuous growth!
About the Hiring Company:
- Multinational leader in Information Technology
Location:
- Braga
What You'll Need to Succeed:
- Recently graduated either in computer engineering, computer science, mathematics, biomedical engineering, or similar science field
- Proficiency in Python and its Math & Machine Learning packages like numpy,
- learn, pandas/dask, Tensor
Flow/Keras, Py
Torch, etc. - Knowledge of Machine Learning algorithms and concepts such as Convolutional Neural Networks, Recurrent Neural Networks, Graph Neural Networks, Transformer architectures, Decision Trees, Boosting, etc.
- Experience with Large Language Models (LLMs) and Gen
AI is valued - Experience with research and Automated Machine Learning is also valued
Your Future Responsibilities:
- Think with a scientific mindset
- Integrate R&D and
- edge technology into a Product - Utilize Python and distributed computing with Celery
- Apply MLOps concepts and tools
- Work with Mongo
DB, Rabbit
MQ, and Docker
What the Company Offers:
- Competitive salary, according to the position and experience
- 22 days of paid annual leave + 4 extra days
- Performance-based bonuses
- Health Insurance
- Personal and Career Development
- Training program
- Be part of a great, agile, and growing team
- Excellent learning environment
- Exceptional and open work environment
- An amazing working office at Braga’s city center full of amenities and with a medieval wall as background
- Work-life balance
- Company events and treats
We dream your dreams, care about your success, and strive to turn your vision into reality!
#Intelcia
Shared
Services #We
Dream #We
Care #We
Do #Be
Great
Together #More
Human
Than
Ever
The personal data received are analyzed under the terms approved by the General Data Protection Regulation (GDPR) and are intended exclusively for the Recruitment and Selection process.
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