AI and ML Engineer, Lead
Core
Design and implement AI solution architectures, develop and scale complex enterprise machine learning applications, and build scalable data pipelines for ML workflows.
Role type
Lead AI and ML Engineer
Builds
Enterprise software and machine learning applications, scalable data pipelines, and model training/deployment workflows
Domain
Enterprise AI/ML, Data Engineering
Deliverable
production ML models
Required skills
Python, TypeScript, scalable solution architecture, data pipeline construction, ETL/ELT workflows, model operationalization, cross-functional collaboration, technical mentorship
Preferred skills
Full-stack application development, ML model deployment, Palantir Foundry, Spark, Databricks, Alteryx, real-time/streaming applications, AWS RDS, PostgreSQL, Snowflake, Agile engineering practices
Technologies
Python, TypeScript, Palantir Foundry, Spark, Databricks, Alteryx, AWS RDS, PostgreSQL, Snowflake
Responsibilities
Design AI solution architectures and strategies, develop and maintain complex ML applications, create software for data retrieval and processing, build scalable data and model pipelines, provide innovative solutions to complex problems, mentor employees, collaborate with cross-functional teams
Seniority
Lead, hands-on IC with mentorship responsibilities (via careerplan.io/jobs/22735-ai-and-ml-engineer-lead-at-booz-allen-hamilton)
