Senior MLOps Engineer — Agriculture AI with Equity & PTO

Agzen; Somerville, Northern (MA, KY); Hybrid; USD 150,000 - 200,000; Full time

Benefits offered by this job

Immediate impact

Early-employee equity

401(k) with employer matching at 6 m

6 weeks PTO per year

12 paid holidays

Medical, Dental and Vision insurance

Job summary

AgZen, a fast-growing precision agriculture company in Somerville, MA, is hiring a Senior Machine Learning Operations Engineer to own cloud-native data pipelines and model governance for RealCoverage. You’ll work with a small, technically deep team spanning hardware, software, and agronomic science, contributing to farming efficiency and sustainability.

You will lead end-to-end ML operational workflows, oversee data ingestion, labeling, validation, and model deployment, and collaborate with data

Qualifications

• Bachelor’s or graduate degree in Computer Science, Electrical Engineering, or a closely related field.
• 5+ years of experience building large-scale distributed systems, applications, or advanced ML systems.
• Experience with MLOps, data pipelines, and cloud distributed systems.
• Proficiency in Python for system-level and performance-critical implementation.
• Experience operating end-to-end data or ML pipelines for reliability, scale, and observability.
• Communication skills that align collaborators and drive execution across functions.
• Familiarity with deep learning frameworks (e.g., PyTorch, TensorFlow).
• A record of ownership, accountability, and customer-focused engineering.
• Proven track record of designing robust frameworks with high-quality, durable APIs.
• Deep understanding of machine learning algorithms with hands-on application.
• Expertise in building reliable, high-performance, and cost-efficient systems on modern cloud infrastructure.

Responsibilities

• Own the architecture, execution, and operational excellence of large-scale, cloud-native pipelines for multimodal sensor data ingestion, processing, labeling, and validation.
• Champion model traceability by building a clear lineage for every production model, including data, code, validation, and performance.
• Partner with data scientists to detect data quality issues and drift, ensuring features stay fresh and reliable.
• Track model drift and surface feature freshness issues to prevent cascading problems.
• Build diagnostic tooling to quickly root cause pipeline and recommendation issues and log rich context.
• Own automated gates that block bad deployments and facilitate post-deployment retrospectives.
• Collaborate with ML engineers, data engineers, and stakeholders on post-deployment metrics and data collection rationale.
• Build tooling to help non-technical domain experts understand perception system performance and pipeline improvements.
• Work with cross-functional teams to design, build, and maintain robust data pipelines grounded in domain knowledge.
• Communicate technical findings and limitations clearly to internal partners and external collaborators.

Skills

MLOps

Python

Distributed systems

Cloud computing

Data pipelines

SQL

Deep learning

Communication

PyTorch

TensorFlow

Education

Bachelor’s degree in CS/EE

Tools

NumPy

Pandas

scikit-learn

PyTorch

TensorFlow

Job description

AgZen, a fast-growing precision agriculture company in Somerville, MA, is hiring a Senior Machine Learning Operations Engineer to own cloud-native data pipelines and model governance for RealCoverage. You’ll work with a small, technically deep team spanning hardware, software, and agronomic science, contributing to farming efficiency and sustainability.

You will lead end-to-end ML operational workflows, oversee data ingestion, labeling, validation, and model deployment, and collaborate with data