Technical Qualifications

• 5+ years of work experience including SaaS systems
• Bachelor’s degree or higher in a related field
• Experience with Object Oriented Programming principles and strong coding skills on Python or any other OO programming languages
• Skills on manually and programmatically interacting with data stored in traditional (relational) databases (MSSQL or PostgreSQL) as well as NoSQL databases and/or columnar data formats
• Solid understanding of machine learning & data science concepts
• Experience with developing and deploying end to end Machine Learning solutions including Machine Learning model serving strategies and inference services
• Experience with Python Data Science / Machine Learning libraries NumPy, Pandas, sklearn, mlflow, lightgbm, xgboost, Tensorflow, PyTorch
• Experience with Python backend development frameworks (e.g., Flask, Django, FastAPI)
• Familiarity with LLMs and Generative AI technologies
• Ability and motivation to self-teach while entering new domains and managing through ambiguity

Preferred Qualifications

• Knowledgeable on Deep Learning and its fields including NLP, Large Language Models, Computer Vision
• Knowledgeable of modern big data solutions and distributed platforms for processing large and complex data sets
• Familiarity on supply chain analytics problems such as demand forecasting, inventory and price optimization
• Familiarity with DevOps, MLOps, DataOps, and Platform Engineering concepts