Senior AI/ML Scientist: Python-Driven Automation

Ethereum Technologies LLC; Alpharetta (GA); On-site; USD 130,000 - 185,000; Full time

Job summary

ETHEREUM TECHNOLOGIES LLC is seeking a senior AI/ML engineer with a master's or PhD in CS, ML, or quantitative fields. You will design high‑performance AI systems, create automation to improve efficiency, and research novel analytical enhancement methods.

You will collaborate with Compliance, Legal, and IT to promote AI capabilities and support suspicious activity detection. Required: 5+ years of industry experience and proficiency in Python or Java, plus excellent written and oral communication

Qualifications

• Master's or PhD in Computer Science, Machine Learning, or other quantitative fields.
• Proficiency in Python or Java.
• Experience with AI/ML/NLP software packages.
• Familiarity with Software Development Life Cycle (SDLC) principles.
• Strong problem-solving and time management skills.
• Excellent written and oral communication skills.

Responsibilities

• Design high-performance AI systems using advanced techniques.
• Create automation solutions to improve efficiency.
• Research novel analytical enhancement methods.
• Collaborate with Compliance, Legal, and IT stakeholders.
• Promote new AI/ML/NLP capabilities.
• Champion innovative strategies for suspicious activity detection.

Skills

Proficiency in Python or Java

SDLC familiarity

Strong communication

Problem solving

Time management

Education

Master's or PhD in Computer Science, ML or quantitative fields

Job description

ETHEREUM TECHNOLOGIES LLC is seeking a senior AI/ML engineer with a master's or PhD in CS, ML, or quantitative fields. You will design high‑performance AI systems, create automation to improve efficiency, and research novel analytical enhancement methods.

You will collaborate with Compliance, Legal, and IT to promote AI capabilities and support suspicious activity detection. Required: 5+ years of industry experience and proficiency in Python or Java, plus excellent written and oral communication