Estagiário(a) - Ciência de dados (Remoto)
Sao Paulo, SP, Brazil
UL Solutions
UL Solutions is a global independent safety science company with more than a century of expertise innovating safety solutions.We're looking for a Computer Science, Data Science, and Computational Linguistics student to work with the AI Lab team remotely in the Brazil region.
- Drive own work in a team data science project end-to-end: from data analysis to model training and microservice deployment
- Write clean and maintainable Python code
- Test software and fix bugs
- Participate in code reviews
- Conduct additional data science tasks as required, including but not limited to training data expansion, coordinating data annotation with our annotation vendor, training and deploying models
Skills Required:
- Student of Computer Science, Data Science, Computational Linguistics or a related field
- Strong Python coding skills
- Understanding of GenAI and Deep Learning advanced techniques for text classification, entity recognition and/or text summarization
- Interest and/or experience on neural methods of NLP, including word embeddings
- Interest in design software architecture
- Ability to write robust and testable code
- An analytical mind with problem-solving abilities
- Excellent communication and teamwork skills
- A strong desire to learn new Machine Learning algorithms and approaches
- A passion for learning how to take experimental code to the next level and turn it into efficient and elegant production code
Desirable Skills:
- Experience with code version control tools like git, github, etc.
- Experience with deep learning and machine learning frameworks (like Pytorch, TensorFlow or Keras) and libraries (like Scikit-learn, Spacy, Langchain, etc.)
- Ability to write high quality production code, including unit test cases
- Demonstrated effective interpersonal, influencing, collaboration and listening skills
- Experience of working in an Agile environment & Agile Project Management
- Experience in Azure (or another cloud-based platform), Docker, Kubernetes, etc.
What you'll experience working at UL:
- Mission: For UL, corporate and social responsibility isn’t new. Making the world a safer, more secure and sustainable place has been our business model for the last 125 years and is deeply engrained in everything we do.
- People: Ask any UL employee what they love most about working here, and you’ll almost always hear, “the people.” Going beyond what is possible is the standard at UL. We’re able to deliver the best because we employ the best.
- Interesting work: Every day is different for us here as we eagerly anticipate the next innovation that our customers’ create. We’re inspired to take on the challenge that will transform how people live, work and play. And as a global company, in many roles, you will get international experience working with colleagues around the world.
- Grow & achieve: We learn, work and grow together with targeted development, reward and recognition programs as well as our very own UL University that offers extensive training programs for employees at all stages, including a technical training track for applicable roles.
- Total Rewards: In the US, we provide lots of great benefits for our employees are their families. From Volunteer Days off to 401k match and retirement contribution benefits to flexible work location & schedule options we look to support our employees no matter what stage in life they are experiencing.
Learn More:
Curious? To learn more about us and the work we do, visit our company page www.UL.com
#LI-BD1
#Remote
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Azure Classification Computer Science Data analysis Deep Learning Docker Generative AI Git GitHub Keras Kubernetes LangChain Linguistics Machine Learning Model training NLP Python PyTorch Scikit-learn spaCy TensorFlow
Perks/benefits: 401(k) matching Career development Flex hours
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.