Production ML Engineer: End-to-End AI Systems

Evlo AI; Miami (FL); On-site; USD 110,000 - 170,000; Full time

Benefits offered by this job

None

Job summary

Evlo AI is seeking an ML Engineer to own end-to-end development of production ML systems, from training to deployment and monitoring, powering core product features at scale. The role blends research and engineering, requiring models to be accurate, fast, cost-efficient, and reliable, with ownership over what ships to production.

You'll work across ML, DL, and LLM-powered features in a growth-stage environment.

Qualifications

• 3–6 years of experience in ML engineering or applied ML, with multiple models shipped to production.
• Strong Python engineering skills with hands-on depth in PyTorch or TensorFlow.
• Experience deploying and operating models on cloud providers with SLAs.
• Fundamentals in evaluation, regularization, and handling class imbalance.
• Experience with experiment tracking and CI/CD for ML workflows.
• Degree in CS, Statistics, Engineering, or equivalent practical experience.

Responsibilities

• Design, train, and evaluate ML models for production use cases across ranking, classification, NLP, and generative AI.
• Build and maintain training/feature pipelines in Python, PySpark, and Airflow with data versioning.
• Deploy and serve models using Docker, Kubernetes, and cloud ML platforms, managing latency and cost.
• Implement LLM-based features including RAG, prompts, and evaluation harnesses.
• Establish monitoring for data drift and serving anomalies with automated alerts.
• Collaborate with data engineers, PMs, and scientists to translate problems into ML solutions.
• Contribute to ML platform improvements: experiment tracking, CI/CD, and shared tooling.

Skills

Python engineering

PyTorch/TensorFlow

ML platform CI/CD

Experiment tracking

Data versioning

Cloud ML deployment

Education

Bachelor's or Master's in CS/Statistics/Engineering

Tools

Docker

Kubernetes

SageMaker

Vertex AI

Airflow

PySpark

MLflow/Weights & Biases

Job description

Evlo AI is seeking an ML Engineer to own end-to-end development of production ML systems, from training to deployment and monitoring, powering core product features at scale. The role blends research and engineering, requiring models to be accurate, fast, cost-efficient, and reliable, with ownership over what ships to production.

You'll work across ML, DL, and LLM-powered features in a growth-stage environment.