AI/ML Solutions Architect

MACHINE LEARNING TECHNOLOGIES LLC; Washington (District of Columbia); On-site; USD 190,000 - 260,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Washington, DC seeks an AI/ML Solutions Architect to design, develop, and deploy end-to-end AI/ML solutions. You will lead GenAI initiatives, architect scalable platforms, and mentor junior team members while driving secure cloud deployments (AWS/Azure) and Databricks adoption.

The role emphasizes advanced Python, MLOps, and rapid delivery of reusable AI capabilities to business users using FastAPI, Docker, Kubernetes, and Streamlit.

Qualifications

• Strong Python for ML and libraries such as scikit‑learn, PyTorch, pandas, NumPy.
• End-to-end AI/ML system design with MLOps: Docker, Kubernetes, Git.
• Generative AI mastery with LLMs, fine‑tuning (LoRA/PEFT) and optimization.
• Cloud deployment on AWS and/or Azure; Databricks expertise.
• Databricks for data processing and platform management.
• Data processing, feature engineering, visualization, storytelling.
• Systems thinking for scalable, secure architectures bridging business goals.
• Excellent communication, collaboration and mentorship skills.

Responsibilities

• Architect and develop AI/ML solutions including supervised/unsupervised models and neural nets.
• Lead GenAI initiatives using LLMs and foundation models with prompt engineering.
• Implement MLOps and deployment pipelines; secure endpoints with FastAPI and containers.
• Drive Databricks platform adoption to accelerate use case development and AutoML.
• Write efficient Python code; use JupyterLab/VSCode; adhere to testing and quality practices.
• Build frontend tools with Streamlit and standard web tech to showcase AI capabilities.
• Mentor junior engineers and data scientists; establish governance for data quality and accessibility.

Skills

Python for ML

scikit-learn

PyTorch

pandas

NumPy

seaborn

MLOps

Docker

Kubernetes

Git

LoRA/PEFT

LLMs / Generative AI

AWS/Azure

Databricks

Streamlit

FastAPI

JupyterLab/VSCode

Data visualization

System design

Mentorship

Tools

Docker

Kubernetes

Git

FastAPI

Databricks

Streamlit

HTML/CSS/JavaScript

JupyterLab

VSCode

Job description

Job Overview

• Job ID: J51875
• Job Title: AI/ML Solutions Architect
• Location: Washington D.C, DC
• Duration: 12 Months + Extension
• Hourly Rate: Depending on Experience (DOE)
• Work Authorization: US Citizen, Green Card, OPT-EAD, CPT, H-1B, H4-EAD, L2-EAD, GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

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.

Responsibilities

• Architect and Develop AI/ML Solutions: Design, implement, and deploy advanced supervised and unsupervised models (regression, classification, clustering, time-series forecasting, boosting methods) and complex neural networks (CNNs, RNNs, LSTMs).
• Lead Generative AI Initiatives: Develop and integrate solutions powered by LLMs and open-source foundation models, applying expertise in prompt engineering, fine‑tuning techniques (LoRA, PEFT), and model optimization for performance, latency, and cost.
• Implement MLOps and Deployment Pipelines: Manage the full model lifecycle and deployment strategy, including model serialization (Pickle, Joblib, ONNX), containerization with Docker and Kubernetes, and building secure, scalable endpoints using FastAPI and serverless functions.
• Champion Platform Enablement: Drive adoption and utilization of the Databricks platform to accelerate use case development, promote model automation, facilitate AutoML, and create reusable template-based solutions.
• Adhere to Software Engineering Excellence: Write highly efficient, maintainable Python code (advanced Python skills required), utilizing tools like JupyterLab and VSCode, and enforce Git version control and best practices for testing and quality assurance.
• Develop User‑Facing AI Applications: Build front‑end tools and prototypes using Streamlit alongside standard front‑end technologies (HTML/CSS/JavaScript) to demonstrate AI capabilities to business users.
• Provide Technical Leadership & Mentorship: Collaborate effectively with cross‑functional teams, mentor junior engineers and data scientists, and establish governance standards for data quality, solution accessibility, and business adoption of AI/ML practices.

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

MACHINE LEARNING 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. MACHINE LEARNING 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 MACHINE LEARNING 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