Lead ML Architect – Life Sciences, Hybrid

Yahara Software; Madison (WI); Hybrid; USD 140,000 - 210,000; Full time

Benefits offered by this job

Health insurance

401(k) with company match

On-site gym

Hybrid/remote schedule

Commuter benefits

Job summary

Yahara Software in Madison, Wisconsin, seeks a Lead Machine Learning Engineer to guide the technical side of client projects where ML is central. You will train models from scratch or select pretrained ones, define metrics, and work with DevOps to deploy and monitor in production.

You will lead and mentor engineers, shape data into learnable features, and communicate tradeoffs and risks clearly to clients in pre-sales and ADRs.

Qualifications

• 6+ years in software engineering, data science, or ML engineering.
• Hands-on experience building and shipping ML models.
• Experience leading technical work for a team, formally or informally.
• A broad ML toolkit rather than a single narrow specialty.

Responsibilities

• Design, train, and evaluate models for classification, forecasting, anomaly detection, and more.
• Choose the right approach for the problem, from classical ML to deep learning.
• Shape messy client data into features a model can actually learn from.
• Define how models get measured, so everyone knows what “good” looks like.
• Partner with DevOps to deploy, monitor, and retrain models in production.
• Own technical delivery for your project team: quality, pace, and direction.
• Mentor the engineers on your team through code reviews and problem solving.
• Present results, tradeoffs, and risks to clients in plain language.

Skills

6+ years experience

Hands-on ML

Team leadership

Broad ML toolkit

Tools

Python & data stack

ML frameworks

Experiment tracking

Docker & Kubernetes

Job description

Yahara Software in Madison, Wisconsin, seeks a Lead Machine Learning Engineer to guide the technical side of client projects where ML is central. You will train models from scratch or select pretrained ones, define metrics, and work with DevOps to deploy and monitor in production.

You will lead and mentor engineers, shape data into learnable features, and communicate tradeoffs and risks clearly to clients in pre-sales and ADRs.