Key skills
Machine learningPythonSQLML frameworksData engineeringData pipelinesData qualityData governanceCloud data platformsSnowflakeDatabricksSemantic layer designMLOpsData modelingCI/CD for MLLLMsEmbeddingsRecommendation systemsForecasting modelsAIMachine LearningMLData EngineeringAnalyticsCI/CDLeadershipCommunicationCollaboration
About this role
Boulevard is a client experience platform for appointment-based self-care businesses, empowering customers to enhance client interactions. They are seeking a Staff Machine Learning Engineer to design, build, and scale AI-powered solutions, collaborating with cross-functional teams to tackle complex data challenges and deliver high-impact products.
Responsibilities:
- Design, build and deploy production-grade machine learning and AI systems that power customer-facing analytics, automation, and intelligent product experience
- Develop and operationalize end-to-end ML workflows - from data preparation and feature engineering to model training, deployment, monitoring and continue improvement
- Build scalable AI solutions leveraging LLMs, embeddings, recommendation systems, forecasting models, and other modern ML techniques
- Collaborate with Product and Engineering teams to identify high-impact use cases and deliver seamless AI-powered data products
- Design and evolve semantic data models that enable accurate, consistent, and scalable analytics across the organization
- Mentor engineers, provide technical leadership, and influence architecture and engineering standards across teams
Requirements:
- 7+ years of combined experience in Data Engineering and Machine Learning roles
- 3+ years of experience building, deploying, and operating machine learning systems in production environments
- Strong programming skills in Python and SQL, with experience using modern ML frameworks and AI tooling
- Experience designing scalable data pipelines, data quality, governance and working with modern cloud data platforms such as Snowflake, Databricks, or similar
- Strong understanding of semantic layer design, MLOps practices, and data modeling principles that support reliable CI/CD for ML workloads
- Experience building data products that leverage LLMs, embeddings, forecasting, recommendation systems, or other ML technologies
- Excellent problem-solving, communication, and collaboration skills, with the ability to work effectively across global and cross-functional teams
- Experience with Snowflake Cortex is a plus