Production ML Scientist: End-to-End Features & Models

AgenticBricks.com; Seattle (WA); On-site; USD 140,000 - 210,000; Full time

Job summary

AgenticBricks is an AI consulting firm that embeds expert engineers directly with enterprise clients to tackle complex, high-stakes challenges. We are seeking an Applied Scientist to own the ML lifecycle end to end—from feature engineering to production models and scalable inference for a large ecommerce retailer.

You will design, train, and deploy production‑grade models, manage training pipelines, and optimize serving under real‑world traffic.

Qualifications

• Graduate degree in a quantitative field or equivalent experience.
• Strong ML fundamentals and statistical literacy.
• Strong Python programming skills and ability to write production‑quality code.
• Demonstrated experience bringing models to production — feature pipelines, training, serving.
• Practical command of the full pipeline from feature engineering to inference, with failure mode awareness.
• Clear communication to non‑technical stakeholders.

Responsibilities

• Design, build, and maintain features from large‑scale retail data.
• Build reliable feature pipelines (batch and streaming) with accuracy and reuse in mind.
• Collaborate with feature stores and data infra to align training and serving.
• Train, validate, and productionize models on real production data and infra.
• Create reproducible training pipelines with versioned data and features, plus automated retraining.
• Design offline and online experiments (including A/B tests) to prove model value.
• Build and optimize model serving for production (batch and real‑time, low latency).
• Own latency, throughput, autoscaling, monitoring, and drift detection in inference.
• Diagnose production model issues and close loop to features/training.

Skills

Strong ML fundamentals

Python programming

Production‑quality code

Model deployment experience

Clear communication

Non‑technical stakeholder briefing

Education

Graduate degree in ML/CS/statistics/applied math

Tools

Feature stores

Data infrastructure

Streaming pipelines

Distributed training

Model serving infrastructure

Job description

AgenticBricks is an AI consulting firm that embeds expert engineers directly with enterprise clients to tackle complex, high-stakes challenges. We are seeking an Applied Scientist to own the ML lifecycle end to end—from feature engineering to production models and scalable inference for a large ecommerce retailer.

You will design, train, and deploy production‑grade models, manage training pipelines, and optimize serving under real‑world traffic.