Senior ML Engineer (Client Solutions)

The role

You will build ML systems directly inside client environments. This involves the full ML delivery lifecycle from data discovery to deploying models on a schedule. You will also act as the engineering face of AZX to clients.

What you will do

• Own the full ML delivery lifecycle including data discovery, modeling, deployment, and monitoring
• Build forecasting and detection models for real-world data quality issues
• Backtest and evaluate models to support operational decisions
• Design systems that distinguish no prediction from wrong prediction
• Ship usable products such as FastAPI services, React surfaces, or scheduled jobs
• Agree on baselines and KPIs and deliver post-deployment readouts
• Maintain client-facing engineering presence and feedback loops with the platform team

Required qualifications

• 5+ years of shipping applied machine learning to production
• Strong data engineering skills
• Rigorous validation discipline
• Software engineering skills in Python, SQL, tests, Docker, a scheduler, an API or app surface, and monitoring
• Client-facing capability
• Practical fluency with Python 3.12+ (pandas/polars/DuckDB, scikit-learn, statsmodels, gradient boosting)
• SQL/Postgres (with TimescaleDB/PostGIS for grid work)
• Time-series feature engineering and validation
• Comfort building surfaces with FastAPI and React/TypeScript
• Deploying with Docker and basic cloud tooling (Azure/AWS)
• Working fluency with LLMs for extraction and retrieval
• Bachelor's Degree

Nice to have

• Master's is a Plus
• Domain experience in Energy, Utilities, Infrastructure, and Commercial Real Estate is a plus

Benefits

• Competitive early-stage startup compensation
• Bonus eligibility
• Health insurance with meaningful coverage for dependents
• Flexible paid time off
• Equity

Before you apply

• Must be able to travel 2x/year for company summits
• Applicants must be currently authorized to work in the United States on a full-time basis
• We are unable to sponsor or take over sponsorship of employment visas at this time
• Interview process includes a written take-home assignment followed by a live two-hour technical session
• Please only apply to a maximum of 2 roles at a time

About the company

AZX specializes in physics-informed ML and enterprise AI solutions for climate and sustainability challenges. They work with leaders in real estate, energy, logistics, and utilities.