Junior Machine Learning Engineer

Overview

• Join a forward-thinking technology company as a Junior Machine Learning Engineer, contributing to innovative AI solutions and enhancing operational efficiency.
• Collaborate with cross-functional teams to design and implement machine learning models for impactful business applications.
• Engage in research and development activities to drive advancements in AI and data science methodologies.
• Support the development lifecycle, from data exploration to production integration, ensuring robust and scalable solutions.
• Contribute to the creation of deep learning algorithms and tools for strategic decision-making and portfolio analysis.
• Assist in ETL processes, data migration, and the development of monitoring systems for model performance.
• Prepare high-quality analyses and presentations to effectively communicate insights to stakeholders.
• Participate in innovation initiatives, enhancing the capabilities of AI-powered agents and systems.

Key Responsibilities & Duties

• Design and implement machine learning algorithms and statistical models tailored to business needs.
• Analyze pricing strategies and provide actionable insights to optimize business outcomes.
• Collaborate with diverse teams to integrate AI solutions seamlessly into production environments.
• Develop tools and processes to monitor and enhance the performance and reliability of machine learning models.
• Conduct ad-hoc analyses to support strategic business decisions and operational improvements.
• Prepare and deliver clear and compelling presentations of analytical findings to stakeholders.
• Contribute to innovation projects, driving advancements in AI and machine learning technologies.
• Support research and development efforts to enhance AI capabilities and methodologies.

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.
• 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.
• Understanding of consumer behavior algorithms is advantageous.
• Familiarity with C# and Go programming languages is a plus.
• Strong analytical and problem-solving skills to address complex challenges.