AI/ML Solutions Architect

Cloud Analytics Technologies, LLC; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

A leading tech company in the United States is seeking an AI/ML Solutions Architect to design and implement advanced artificial intelligence and machine learning solutions for a key client. The ideal candidate will possess proficiency in Python and extensive experience with AI/ML libraries, have deep expertise in deploying models on cloud platforms like AWS and Azure, and demonstrate strong mentorship skills. This position offers opportunities to influence project outcomes and lead a team in a dynamic environment.

Qualifications

• Advanced proficiency in Python for machine learning.
• Experience designing and deploying AI/ML systems.
• Expertise in deploying models on AWS/Azure.

Responsibilities

• Design and implement end-to-end AI/ML solutions.
• Drive platform adoption using Databricks.
• Mentor junior team members on best practices.

Skills

Python proficiency for machine learning

Experience with scikit-learn

Experience with PyTorch

Experience with Docker

Experience with Kubernetes

Experience with AWS

Experience with Azure

Knowledge of Databricks

Systems Thinking approach

Excellent communication skills

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.

Equal Opportunity Employer

CLOUD ANALYTICS 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. CLOUD ANALYTICS 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 CLOUD ANALYTICS 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.