AI/ML Solutions Architect

4 weeks ago

Washington DC, United States JPS Tech Solutions Full time

AI/ML Solutions Architect Job Description
Job Title : AI/ML Solutions Architect
Company : JPS Tech Solutions
Job Category: AI/ML
W2: W2-Contract Only (C2C not considered)
C2C: Contract - W2
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.
Architect and develop AI/ML solutions: design, implement, and deploy advanced supervised and unsupervised models (regression, classification, clustering, timeseries forecasting, boosting methods) and complex neural networks (CNNs, RNNs, LSTMs).
Lead Generative AI initiatives: develop and integrate solutions powered by LLMs and opensource foundation models, applying expertise in prompt engineering, finetuning 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 templatebased 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 userfacing AI applications: build frontend tools and prototypes using Streamlit alongside standard frontend technologies (HTML/CSS/JavaScript) to demonstrate AI capabilities to business users.
Provide technical leadership & mentorship: collaborate effectively with crossfunctional teams, mentor junior engineers and data scientists, and establish governance standards for data quality, solution accessibility, and business adoption of AI/ML practices.
Advanced proficiency in Python (specifically for machine learning) and extensive experience with core AI/ML opensource libraries, including scikitlearn, PyTorch, pandas, polars, NumPy, and seaborn.
Proven experience designing and deploying endtoend 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 handson experience with finetuning (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.

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