Remote ML Engineer: Production-Driven AI & LLM Systems

SevenH; United States; On-site; USD 100,000 - 130,000; Full time

Benefits offered by this job

Remote-first culture

Senior mentorship

Learning budget

Sponsored certifications

Job summary

SevenH is seeking a Machine Learning Engineer to design, train, and ship machine learning systems into production. This remote position focuses on building models that directly impact enterprise clients and product performance.

The ideal candidate will have over 3 years of experience with strong Python skills and expertise in tools like PyTorch and TensorFlow. Responsibilities include model deployment and optimization for accuracy and cost efficiency. Join our small, senior team where your contributions are valued and visible.

Qualifications

• 3+ years of experience building and shipping ML systems to production.
• Fluency in Python with strong knowledge of ML libraries.
• Experience deploying models on cloud platforms.

Responsibilities

• Frame business problems as ML problems and choose approaches.
• Build, train, and evaluate ML models.
• Package and deploy models with monitoring.

Skills

Building ML systems

Python

PyTorch

TensorFlow

scikit-learn

Cloud deployment (AWS, Azure, GCP)

Tools

Docker

Kubernetes

MLflow

SQL

Job description

SevenH is seeking a Machine Learning Engineer to design, train, and ship machine learning systems into production. This remote position focuses on building models that directly impact enterprise clients and product performance.

The ideal candidate will have over 3 years of experience with strong Python skills and expertise in tools like PyTorch and TensorFlow. Responsibilities include model deployment and optimization for accuracy and cost efficiency. Join our small, senior team where your contributions are valued and visible.