Senior ML Engineer | AI/LLM in Production + Equity

7Seventy; United States; Remote; USD 143.000 - 197.000; Vollzeit

Benefits dieser Stelle

Healthcare coverage

401(k) matching

Monthly technology allowance

Paid vacation and holidays

Flexible Spending Account (FSA)

Zusammenfassung

7Seventy seeks a Senior ML Engineer to design, deploy, and optimize scalable ML/AI systems powering production applications. You will build DL/ML models, including LLMs, and work on RAG, NLP, and predictive analytics within a production-grade software team.

You will lead model training, evaluation, and deployment, collaborating with data scientists, engineers, and product teams to deliver reliable AI-powered features.

Qualifikationen

• 6+ years of professional experience deploying ML/AI solutions in production.
• Strong Python production code development.
• Experience building retrieval-augmented generation (RAG) solutions for AI-powered apps.
• Experience configuring and maintaining vector databases.
• Willingness to learn new technologies quickly.
• Strong communication and cross-functional collaboration.

Aufgaben

• Design, train, fine-tune, and evaluate DL/ML models including LLMs for production features.
• Develop, scale, and maintain ML pipelines for continuous training and evaluation.
• Build production-ready ML systems integrating analytics, NLP, and Generative AI.
• Collaborate with backend/frontend teams to integrate models into microservices with low latency.
• Architect scalable data pipelines for large datasets and vectorization.

Kenntnisse

Python

RAG

Vector databases

Communication

Fast-paced delivery

Tools

Docker

Kubernetes

Celery

Protobuf

AWS

Jobbeschreibung

7Seventy seeks a Senior ML Engineer to design, deploy, and optimize scalable ML/AI systems powering production applications. You will build DL/ML models, including LLMs, and work on RAG, NLP, and predictive analytics within a production-grade software team.

You will lead model training, evaluation, and deployment, collaborating with data scientists, engineers, and product teams to deliver reliable AI-powered features.