Junior Machine Learning Engineer

Overview

• Develop innovative AI solutions and support full-stack development lifecycle, from exploration to production integration.
• Collaborate with analytics teams to enhance existing models and create new data-driven solutions.
• Contribute to the design of deep learning pricing algorithms and analyze strategic portfolios.
• Identify trends in consumer behavior and drive innovation in research and development.
• Assist in ETL processes, data migration, and development of monitoring tools for model performance.
• Prepare high-quality analysis and presentations to communicate results effectively to stakeholders.
• Contribute to the development of LLM-powered agents and enhance operational efficiency.

Key Responsibilities & Duties

• Design and implement machine learning algorithms and statistical models for business applications.
• Analyze pricing strategies and provide actionable insights to optimize decision-making processes.
• Collaborate with cross-functional teams to integrate AI solutions into production environments.
• Develop processes and tools to monitor and improve model performance and reliability.
• Conduct ad-hoc analyses to support business strategy and operational efficiency improvements.
• Prepare and present analytical findings to stakeholders in a clear and compelling manner.
• Support innovation initiatives and contribute to research and development activities.

Job Requirements

• Bachelor of Science (BS) degree in a relevant field is required.
• 1-3 years of experience in machine learning or data science, including academic projects.
• Intermediate proficiency in Python and SQL databases is essential.
• Experience with TensorFlow or PyTorch frameworks is required.
• Basic knowledge of neural networks and large language models is preferred.
• Knowledge of consumer behavior algorithms is a plus.
• Familiarity with C# and Go programming languages is advantageous but not mandatory.