Production ML Engineer: Build Reliable AI Services

ANAUTICS INC; Oklahoma City (OK); On-site; USD 100,000 - 150,000; Full time

Job summary

ANAUTICS INC is seeking an experienced Machine Learning Engineer to transform data science concepts into production-ready models. The role involves implementing various pipelines and collaborating with data scientists to enhance model performance. A minimum of 4 years in ML engineering is required, along with proficiency in Python. U.S. Citizenship is necessary, and candidates must be capable of obtaining a Top Secret security clearance. Preferred experience includes AWS and working in mission-critical environments.

Qualifications

• 4+ years of ML engineering or applied machine learning experience.
• Strong Python and production software fundamentals.
• Experience deploying models or ML-powered services.
• U.S. Citizenship is required.
• Must be capable of obtaining and maintaining a Top Secret security clearance.
• Comfort working with ambiguous mission, data, and engineering problems.
• Strong written communication and ability to explain technical decisions to technical and non-technical teams.

Responsibilities

• Implement training, inference, feature, evaluation, and monitoring pipelines.
• Work with data scientists to harden models for production use.
• Build APIs, batch jobs, and workflows around ML capabilities.
• Improve model reliability, latency, cost, and explainability.

Skills

Machine Learning Engineering

Python

Model Deployment

Communication

Tools

AWS

Job description

ANAUTICS INC is seeking an experienced Machine Learning Engineer to transform data science concepts into production-ready models. The role involves implementing various pipelines and collaborating with data scientists to enhance model performance. A minimum of 4 years in ML engineering is required, along with proficiency in Python. U.S. Citizenship is necessary, and candidates must be capable of obtaining a Top Secret security clearance. Preferred experience includes AWS and working in mission-critical environments.