About this role
A principal-level, customer-facing role embedding directly within client environments to build production-grade data pipelines, ML systems, and agentic AI solutions. You'll modernize legacy data estates using spec-driven development and lead technical delivery from discovery to deployment.
Must have
10+ years experience as Principal Data Engineer, Lead ML Engineer, or Enterprise Data Architect
Proven track record building and scaling distributed data and ML platforms
Strong executive presence and communication skills for direct client interaction
Mastery of distributed computing with AWS Glue, Apache Spark, and Databricks
Hands-on experience fine-tuning, evaluating, and deploying LLMs and embedding models
Advanced proficiency in Python and complex SQL
Fluency in at least two additional languages from Scala, Go, Rust, or TypeScript
Demonstrated skill using AI tools like Claude Code, Cursor, and Copilot for spec-driven development
Hands-on experience with cloud-native data services on AWS or Azure
Experience with Docker, Kubernetes, and Terraform for infrastructure as code
Willingness to travel occasionally to customer sites
Technologies
Responsibilities
Embed directly within customer environments to understand domain logic and data pipelines
Own end-to-end delivery from data discovery through pipeline deployment and model integration
Evaluate legacy technology estates and refactor into modern lakehouses and streaming systems
Apply spec-driven development using Generative AI tools to create production data models
Architect and deploy GenAI workflows, RAG pipelines, and autonomous AI agents
Establish evaluation frameworks for model accuracy, latency, and hallucination control
Build and maintain ML training and inference pipelines using MLflow, Kubeflow, or Airflow
Ensure CI/CD for models and data workflows
Design and audit production code across Python, SQL, Scala, Go, Rust, and TypeScript
Elevate customer teams through knowledge transfer of MLOps practices and SDD methodologies
Benefits
Amenities
Recruitment process
High-ownership, hands-on role with immediate value demonstration at customer sites
Spec-Driven Development (SDD) and AI-assisted workflows are core methodologies
Partnership with Perkopolis Discounts available
Peer recognition rewards program
Equal-opportunity employer with accommodations available on request
Only qualified candidates will be contacted for interviews
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