Analyst within Credit Risk Management team identifying credit segmentation opportunities using statistical methods. Collaborating with teams to enhance credit decision process and policies.
About the role
- Implement and maintain AI (Artificial Intelligence) solutions to enrich data and improve the efficiency and quality of Logcomex's models;
- Develop and implement predictive and analytical models using advanced machine learning techniques, data mining, and statistical analysis;
- Generate insights and intelligence for our clients based on Artificial Intelligence;
- Collaborate with business teams to understand requirements and objectives and translate them into actionable analytical solutions;
- Stay up to date with the latest trends and advances in artificial intelligence, implementing best practices and relevant technologies;
- Ability to train, fine-tune, and deploy large language models (LLMs) for virtual assistant–specific use cases;
- Transformers: proficiency in transformer architectures and their application in NLP;
- Practical experience with frameworks and libraries such as Hugging Face Transformers and implementing pre-trained models.
Requirements
- Experience in:
- Development of AI-based solutions;
- Statistical techniques, data analysis, programming, and systems development;
- Data Science and Machine Learning: proficiency in data science techniques, including machine learning, deep learning, statistics, predictive analytics, and modeling;
- Testing and deploying data classification methods;
- Experience with large language models (LLMs) such as GPT-3, GPT-4, LLaMA, BERT, RoBERTa, etc.
- We are looking for people with knowledge in:
- Specialization in Artificial Intelligence;
- Familiarity with Large Language Models (LLMs);
- Knowledge of fine-tuning techniques to adapt pre-trained models to proprietary datasets;
- Data cleaning/processing/transformation;
- Python programming;
- PySpark;
- Airflow;
- SQL (PostgreSQL) and NoSQL/Elasticsearch;
- Unix (Linux), Bash;
- GitHub;
- AWS Cloud — EMR, S3, EC2;
- Nice to have:
- Neural networks;
- SageMaker;
- Building data pipelines;
- AWS Athena
Benefits
- Caju benefits with a fixed monthly value of R$2,300.00 (CWB and RMC) or R$1,840.00 (other regions) (food, mobility, multi-balance and home office allowance);
- National health plan (Unimed or Amil);
- Dental plan (Odontoprev);
- Life insurance (MetLife);
- Wellhub;
- Keiken (psychological support platform);
- Starbem (health services platform for physical, mental and emotional well-being);
- Pharmacy agreement with Panvel;
- Extended maternity and paternity leave through the Empresa Cidadã program;
- Development subsidy in partnership with Unico Skill, offering various options for undergraduate and graduate degrees, language courses, mentorships, etc.;
- Private English lessons for leadership and specialists (level II and above);
- School/Education allowance;
- Fresh fruit, cookies, coffee, tea and energy drinks available at any time;
- Happy hours, integration events and team buildings;
- Company-covered travel to the office for Loggers from other locations;
- Partnership with Market 4U and KÜK Station to offer the best to our Loggers on office days;
- No dress code: here you can be yourself and wear what makes you most comfortable;
- Relaxed environment, full of challenges and videogame tournaments; hammock/relaxation area for a breather during the day;
- Log library with great books for Loggers' professional development;
- On-site massage;
- Birthday day off;
- Birthday gift;
- Great gifts for each year of service;
- Recruta Loggers (referral program with monetary bonus).
Job title
Job type
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Degree requirement
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Tech skills
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