AI/ML Solutions Architect

Ethereum Technologies LLC; Washington (District of Columbia); On-site; USD 120,000 - 160,000; Full time

Job summary

A technology solutions company in Washington, DC is looking for an AI/ML Solutions Architect to design and implement cutting-edge artificial intelligence and machine learning solutions. The ideal candidate will possess expert-level skills in Python and MLOps, with proven experience in building end-to-end AI systems including Generative AI. Responsibilities include driving platform adoption, securely deploying models on cloud platforms, and mentoring team members to accelerate the adoption of scalable AI/ML solutions.

Qualifications

• Advanced proficiency in Python for machine learning.
• Experience in designing and deploying end-to-end AI/ML systems.
• Deep expertise in Generative AI solutions and performance optimization.

Responsibilities

• Design and implement end-to-end AI/ML solutions.
• Drive platform adoption using Databricks.
• Mentor junior team members and enable self-service capabilities.

Skills

Python proficiency

AI/ML open-source libraries

MLOps principles

Generative AI solutions

Cloud platform expertise (AWS/Azure)

Databricks knowledge

Data processing and feature engineering

Communication and mentorship skills

Tools

Docker

Kubernetes

Git

Job description

The AI/ML Solutions Architect will be instrumental in designing and implementing end-to-end artificial intelligence and machine learning solutions for a key Randstad client in the DC area. This role requires an expert-level blend of advanced AI/ML model development (including Generative AI/LLMs, deep learning, and traditional ML), modern software engineering practices, and robust MLOps principles. The Architect will drive platform adoption using Databricks, ensure models are securely deployed via cloud platforms (AWS/Azure) using Docker/Kubernetes and FastAPI, and serve as a technical leader and mentor to junior team members, ultimately enabling self-service capabilities and accelerating the business adoption of scalable AI/ML solutions.

Qualifications

• Advanced proficiency in Python (specifically for machine learning) and extensive experience with core AI/ML open-source libraries, including scikit-learn, PyTorch, pandas, polars, NumPy, and seaborn.
• Proven experience designing and deploying end-to-end AI/ML systems, with a strong emphasis on MLOps principles and tools (Docker, Kubernetes, Git).
• Deep expertise in developing and optimizing Generative AI solutions using LLMs and foundation models, including hands-on experience with fine-tuning (e.g., LoRA) and performance optimization.
• Expertise in cloud platform deployment and infrastructure management on major cloud providers (AWS and/or Azure).
• Strong functional knowledge of Databricks for data processing, platform management, and accelerating AI/ML development.
• Experience in data processing, feature engineering, advanced visualization, and communicating complex insights effectively through storytelling.
• Demonstrated Systems Thinking approach to problem-solving, with the ability to translate high-level business goals into secure, scalable, and viable technical architectures.
• Excellent communication, collaboration, and mentorship skills, with a track record of driving best practices and team improvement.

ETHEREUM TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans, (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status. ETHEREUM TECHNOLOGIES LLC will not make any posting or employment decision that does not comply with applicable laws relating to labor and employment, equal opportunity, employment eligibility requirements or related matters. Nor will ETHEREUM TECHNOLOGIES LLC require in a posting or otherwise U.S. citizenship or lawful permanent residency in the U.S. as a condition of employment except as necessary to comply with law, regulation, executive order, or federal, state, or local government contract