
51 - 200 employees
Founded 2019
🤝 B2B
🤖 Artificial Intelligence
☁️ SaaS
B2B • Artificial Intelligence • SaaS
GT is a product development studio that specializes in providing offshore product teams and data science services to high-growth companies worldwide. Founded by professionals with backgrounds from major tech companies like Apple, Nest, and Google, GT operates from locations including Canada, Poland, the UK, and Ukraine. The company is dedicated to supporting and empowering its clients through innovative solutions, talent acquisition, and end-to-end product development.
🕒 May 29
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51 - 200 employees
Founded 2019
🤝 B2B
🤖 Artificial Intelligence
☁️ SaaS
B2B • Artificial Intelligence • SaaS
GT is a product development studio that specializes in providing offshore product teams and data science services to high-growth companies worldwide. Founded by professionals with backgrounds from major tech companies like Apple, Nest, and Google, GT operates from locations including Canada, Poland, the UK, and Ukraine. The company is dedicated to supporting and empowering its clients through innovative solutions, talent acquisition, and end-to-end product development.
• Design, train, and deploy ML models for time-series forecasting and related data tasks • Build and maintain data pipelines using cloud-native tools (AWS, GCP, or Azure) • Develop and optimize forecasting models (Prophet, ARIMA, LSTM, TimeGPT) • Collaborate with data, product, and cloud engineers to deliver reliable, scalable solutions • Participate in different stages of the project lifecycle - from discovery and PoC to production deployment, presenting your work to stakeholders
• 4+ years of experience in Machine Learning / Data Science • Proven experience with forecasting / time-series modeling (Prophet, ARIMA/SARIMA, LSTM, TimeGPT, XGBoost or similar) • Strong Python skills (Pandas, NumPy, scikit-learn, PyTorch) • Experience with model deployment and production ML systems • Familiarity with data preprocessing and feature engineering for time-series data • Familiarity with cloud environments (Azure, AWS, or GCP) • Version control (Git) and SQL • Advanced English level
• Flexible work arrangements • Professional development
Apply Now🕒 February 11
51 - 200
Lead Instructor responsible for high-quality virtual instruction and learner support in ML training programs. Collaborating with operations personnel to ensure delivery success.
🗣️🇩🇪 German Required