Good with numbers, want to work on some exciting technologies, and have 5+ years of experience?
The work process will include utilizing your razor sharp software engineering and python programming skills to collect, process, analyze data, build models and integrate into applications.
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.
