Also available on
Job Description
📋 Description Define and drive AI/ML/data roadmap and architecture for scalable systems. Lead, mentor, and grow a team of data scientists and ML engineers. Oversee end-to-end lifecycle of data pipelines and AI/ML apps. Guide model development, MLOps, and secure API integration with internal systems. Architect secure, high-performance data pipelines for multi-environment datasets. Collaborate with security, product, and platform teams to translate challenges into automation and intelligence. 🎯 Requirements 5+ years in Data Science, ML engineering, or Data Engineering, with 2+ years in technical leadership. Strong architectural understanding of LLM tech, RAG, prompt engineering, MLOps, and secure API integration. Deep expertise with Python, AWS (S3/Lambda/Batch/Glue/Bedrock/Redshift), and ML frameworks. Led end-to-end ML pipelines from data ingestion to deployment and MLOps. Design secure, large-scale multi-tenant data architectures. Excellent communication, mentoring, and ability to influence technical direction. 🎁 Benefits Remote, work-from-home 100% of the time. Eligible for discretionary bonus program or commission. Inclusive culture with accommodations for disabilities.
