Sr. Machine Learning Engineer — ML/AI Team

A Place for Mom is seeking a Senior Machine Learning Engineer to design, build, and scale production-grade machine learning and Generative AI systems. This role will focus on developing advanced ML and LLM-powered applications that leverage structured and unstructured data to drive business impact.

Responsibilities:

• Study and transform data science prototypes using appropriate ML and GenAI architectures
• Design and develop machine learning and LLM-powered systems using modern GenAI architectures (e.g., RAG, prompt engineering, embeddings, vector databases)
• Solve complex problems with multilayered data sets and optimize existing machine learning libraries and frameworks
• Construct optimized data pipelines to feed both traditional ML models and LLM-based systems
• Run machine learning tests and experiments and document findings and results
• Implement and monitor model and data quality checks to ensure accuracy and consistency of our models and pipelines in production
• Ensure system reliability, performance optimization, and responsible deployment of ML and LLM solutions in production
• Manage the full model lifecycle, including retraining, performance monitoring, and continuous improvement
• Partner with Product, Engineering and Business stakeholders to translate requirements into scalable AI/ML and GenAI solutions, contributing to system architecture and technical design
• Provide technical guidance and support on AI/ML initiatives, delivering clear, actionable insights to stakeholders
• Contribute to AI engineering standards and best practices across the organization
• Create and maintain comprehensive documentation for ML and GenAI systems, including prompt libraries, evaluation frameworks, and architectural decisions
• Establish and promote best practices across MLOps, LLMOps and AI system governance

Requirements:

• Master's degree in Computer Science, Mathematics, or a related field, or equivalent working experience
• 5+ years of proven experience as a Machine Learning Engineer, with significant experience working with data from structured and unstructured data sources, ETL processes, and data quality management
• Strong proficiency in SQL, Databricks, AWS services, Python, and Spark
• Experience with ML frameworks such as XGBoost, Scikit-learn, TensorFlow, Keras, or PyTorch
• Hands-on experience building and deploying LLM-powered applications, including prompt engineering, evaluation frameworks, Retrieval-Augmented Generation (RAG), embedding models/vector databases
• Familiarity with MLOps and/or LLMOps tooling and CI/CD workflows
• Excellent analytical and problem-solving skills with a strong ability to derive insights from complex data sets
• Effective communication skills with the ability to convey technical information and business impact to non-technical stakeholders