In this role, you will collaborate with teams across development, product engineering, and solution delivery to design and implement high-performing machine learning models and robust data pipelines. You will play a key part in establishing best practices for data science, engineering approaches, and managing the full model lifecycle.
Technologies you will work with:
- Python;
- PyTorch;
- Natural Language Processing (NLP);
- Linear Models;
- Application Programming Interfaces (API);
- Extract, Transform, Load (ETL);
- Synthetic dataset, LLM.
Your daily work will include:
- Design, build, and deploy machine learning models and data pipelines;
- Conduct data analysis to identify trends and patterns, converting findings into actionable insights;
- Collaborate with business stakeholders and technical teams to gather requirements and develop analytical solutions;
- Innovate new algorithms and enhance existing ones to address real-world challenges;
- Apply best practices for data preprocessing, model validation, and ongoing performance monitoring;
- Continuously explore and stay informed on emerging trends and technologies in data science and AI/ML.
Requirements:
- Proficient in programming, particularly in Python;
- Demonstrated experience in Data Science, Machine Learning, or Data Engineering roles;
- Strong knowledge of data querying and transformation using tools such as SQL, Pandas, or NumPy;
- Proven ability to work independently and collaborate effectively with global or cross-functional teams;
- Experience with version control systems, deployment tools, and agile methodologies.
We offer:
- Knowledge sharing inside a team of professionals;
- Trainings;
- Possibility for constant growth;
- A knowledgeable, high-achieving, experienced and friendly team;
- Health insurance;
- Work from anywhere.
