Machine Learning Engineer

September 16

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management ideas • best practices • business insights

201 - 500

Description

• Deliver an enterprise-grade recommendations engine and ML solutions for Learning Products. • Collaborate with data scientists and engineers to influence ML usage strategy. • Build a content recommendation engine and GenAI integration tools. • Develop high-level design specifications with attention to integration and feasibility. • Investigate new technologies and leverage them in software applications. • Build efficient and reliable data pipelines using behavioral data and analytics. • Participate in design, development, and deployment of GenAI applications using modern LLMs.

Requirements

• 3-5+ years of proven experience in an ML/AI architect role with a focus on GenAI, data analysis, and machine learning algorithms and models • Practical experience in developing ML models using Python (knowledge of Java and Spring/Hibernate a huge plus) • Experience with common ML/AI libraries (e.g. scikit-learn, TensorFlow, PyTorch) and current LLMs (OpenAI, Anthropic, Llama) • Hands-on working experience with RAG architectural approach • Experience and understanding of application containerization and services (Docker, AWS ECS, AWS ECR) • Experience applying system monitoring tools (e.g., New Relic, Splunk)

Benefits

• Competitive compensation and benefits package • Education reimbursement • Early-release Summer Fridays!