AI/ML Engineer

Ethereum Technologies; Plano (TX); On-site; USD 120,000 - 180,000; Full time

Job summary

Ethereum Technologies in Plano, TX seeks an experienced AI/ML Engineer with strong Python expertise to develop scalable AI/ML models and enterprise-ready RAG applications. You will build and deploy end-to-end ML solutions, including GenAI and LLM-based workflows, while collaborating with cross-functional teams to ensure robust production practices.

The role emphasizes hands-on model development, evaluation, and integration into enterprise platforms using APIs and microservices, with a focus on

Qualifications

• Experience developing end-to-end AI/ML models.
• Familiarity with production ML pipelines and MLOps practices.
• Ability to design scalable AI/ML solutions for enterprise use cases.

Responsibilities

• Analyze business requirements and design scalable AI/ML solutions.
• Develop, train, evaluate, and optimize ML, DL, NLP, and Generative AI models.
• Build LLM applications and RAG pipelines using embeddings, vector databases, prompt engineering, and orchestration frameworks.
• Integrate AI/ML solutions into enterprise platforms through APIs and microservices.
• Collaborate with data engineering, cloud, DevOps, QA, architecture, and business teams.
• Implement production practices including CI/CD, testing, containerization, model versioning, monitoring, and performance optimization.
• Support model troubleshooting, drift detection, observability, and continuous improvement.

Skills

Python

ML & DL

TensorFlow / PyTorch

Generative AI / NLP / LLMs

Job description

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, Other

Role Summary:

Seeking an experienced AI/ML Engineer with strong Python expertise and hands‑on experience in machine learning, deep learning, Generative AI, and LLM-based solutions. The candidate will develop and deploy scalable AI/ML models and enterprise‑ready RAG applications.

Key Responsibilities:

• Analyze business requirements and design scalable AI/ML solutions.
• Develop, train, evaluate, and optimize ML, deep learning, NLP, and Generative AI models.
• Build LLM applications and RAG pipelines using embeddings, vector databases, prompt engineering, and orchestration frameworks.
• Integrate AI/ML solutions into enterprise platforms through APIs and microservices.
• Collaborate with data engineering, cloud, DevOps, QA, architecture, and business teams.
• Implement production practices including CI/CD, testing, containerization, model versioning, monitoring, and performance optimization.
• Support model troubleshooting, drift detection, observability, and continuous improvement.

Required Skills:

• Python and end-to-end AI/ML model development
• Machine Learning and Deep Learning
• TensorFlow and/or PyTorch
• Generative AI, LLMs, and NLP

Preferred Skills:

• Agentic AI and autonomous workflows
• GitHub Actions
• Guidewire or Property & Casualty (P&C) insurance experience
• BFSI, insurance, or high-volume enterprise application experience
• Leadership and stakeholder management; ability to work directly with US-based customers

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.