GenAI Studio ML Engineer — Production AI Systems

Scorpion Therapeutics; United States; On-site; USD 120,000 - 160,000; Full time

Benefits offered by this job

Total Rewards Plan

Discretionary annual bonus

Stock-based incentives

Flexible work models

Job summary

Scorpion Therapeutics is seeking a Machine Learning Engineer for its AI Studio to own production components spanning model services, data pipelines, and retrieval systems. You will design and deploy components that connect ML initiatives to real-world user workflows, ensuring reliability and measurable impact.

Applicants should demonstrate expertise in Python/SQL, cloud-based ML tooling, and end-to-end delivery, including testing, monitoring, and governance practices.

Qualifications

• Master’s degree or Bachelor’s degree + relevant experience
• Experience with ML/GenAI techniques and model deployment

Responsibilities

• Own defined production components within enterprise AI products and automation solutions.
• Design, build, release, diagnose, and support components that connect technical measures to user and workflow outcomes.
• Contribute to governed, reusable AI assets across the AI lifecycle from discovery to production.

Skills

Python

SQL

APIs

Data modeling

ML/GenAI techniques

Education

Master’s degree

Tools

AWS Bedrock/SageMaker

Databricks/Spark

Kubernetes

MLflow

Airflow/Kubeflow/GitHub Actions

Job description

Scorpion Therapeutics is seeking a Machine Learning Engineer for its AI Studio to own production components spanning model services, data pipelines, and retrieval systems. You will design and deploy components that connect ML initiatives to real-world user workflows, ensuring reliability and measurable impact.

Applicants should demonstrate expertise in Python/SQL, cloud-based ML tooling, and end-to-end delivery, including testing, monitoring, and governance practices.