What you bring Technical skills: Strong foundation in machine learning techniques such as supervised and unsupervised learning, deep learning, and vision/NLP experience. Proficiency in Python, along with popular ML libraries and frameworks such as PyTorch, Scikit-Learn, pandas, NumPy, SciPy, TensorFlow. Experience with data preprocessing and feature engineering for structured and unstructured data. Knowledge of model deployment and serving, using tools like Docker, Kubernetes, or cloud-based services (AWS, GCP, Azure). Familiarity with MLOps tools for automation and monitoring (e.g., MLFlow, ClearML). Experience with SQL for data extraction and analysis (optional). Experience: Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field. 7+ years of experience in software development, including at least 3 years of experience in the machine learning domains. Experience working in a B2C company or a similar high-paced environment is an
