LLM-Driven Data Scientist: AI Automation & MLOps

George Bernard Consulting; United States; Remote; USD 100,000 - 170,000; Full time

Job summary

Remote Jobs is seeking an AI/ML Engineer to design, build, and deploy scalable AI solutions for business automation. You will develop APIs and containerized apps to integrate AI models into workflows, while building robust LLMOps pipelines for deployment, monitoring, and lifecycle management.

The role requires hands-on experience with Python, web frameworks, Docker/Kubernetes, and GenAI frameworks, plus 3+ years in related roles. Collaboration across time zones and with UK teams is essential.

Qualifications

• Bachelor's or Master's Degree in Computer Science, Data Science, Statistics, or related field.
• Minimum 3+ years in software engineering, data science, ML, or AI engineering roles.
• Hands-on experience deploying Generative AI / LLM applications in production.
• Experience implementing containerized deployments and CI/CD pipelines for AI apps.
• Exposure to cloud platforms such as Microsoft Azure and Databricks.

Responsibilities

• Design, build, and deploy scalable production-ready AI solutions for automation and advanced AI applications.
• Develop APIs and containerized web-based apps to integrate AI models into workflows.
• Implement and manage LLMOps/MLOps pipelines for deployment, monitoring, and lifecycle management.
• Set up automated workflows for model versioning, performance tracking, and drift detection.
• Integrate observability tools for real-time monitoring and compliance management.
• Develop and maintain data pipelines and CI/CD/CT workflows for training, evaluation, and real-time inference.
• Analyze data to generate insights and support strategic decisions.
• Collaborate with engineers, product managers, and stakeholders to deliver end-to-end AI solutions.
• Communicate findings through reports, dashboards, and presentations.

Skills

Python

Web frameworks

Docker/Kubernetes

LLM fine-tuning

LangChain/LangGraph

Pandas/NumPy/SQL

PySpark

Communication

Education

Bachelor's or Master's in CS/DS

Tools

Docker

Kubernetes

Apache Spark

Job description

Remote Jobs is seeking an AI/ML Engineer to design, build, and deploy scalable AI solutions for business automation. You will develop APIs and containerized apps to integrate AI models into workflows, while building robust LLMOps pipelines for deployment, monitoring, and lifecycle management.

The role requires hands-on experience with Python, web frameworks, Docker/Kubernetes, and GenAI frameworks, plus 3+ years in related roles. Collaboration across time zones and with UK teams is essential.