Tech Stack
AWSAzureCloudPythonPyTorchSQLTensorflow
About the role
- 100% remote role open to those who reside in EMEA or APAC regions (excluding certain high-cost locations).
- Help design, build, and scale Testlio’s next generation of AI-powered data products.
- Apply advanced ML, data science, and statistical methods to transform testing platform data into actionable insights.
- Prototype, validate, and deploy models into production at scale.
- Research and implement techniques in NLP, anomaly detection, recommendation systems, and predictive analytics.
- Translate outputs into clear, actionable insights for customers.
- Measure and improve model performance continuously and contribute to building Testlio’s data science practice.
Requirements
- Advanced degree (Master’s or PhD) in Computer Science, Data Science, Statistics, or a related field.
- 5+ years applying machine learning and statistical modeling to real-world problems, ideally in SaaS or data products.
- Strong Python skills and experience with deep learning frameworks such as PyTorch and TensorFlow.
- Hands-on experience with NLP, predictive modeling, recommendation systems, anomaly detection, and training models from scratch using ML and deep learning methods.
- Expertise in data wrangling, feature engineering, and managing large, complex datasets.
- Knowledge of Large Language Models (LLMs) and Small Language Models (SLMs), including architecture, training, fine-tuning (LoRA, QLoRA, SFT), and deployment strategies.
- Experience deploying ML models into production and familiarity with MLOps.
- Proficiency with SQL, data visualization tools, and cloud platforms like AWS or Azure.
- Curiosity + creativity; Business orientation; Collaborative spirit; Adaptability; Mentorship mindset; Growth mindset.