JPS Tech Solutions ยท 1 month ago
AI/ML Solutions Architect
District of Columbia, United States
Full-time
Onsite
Senior LevelJPS Tech Solutions is seeking an AI/ML Solutions Architect who will be instrumental in designing and implementing end-to-end artificial intelligence and machine learning solutions. The role involves advanced AI/ML model development, modern software engineering practices, and serving as a technical leader and mentor to junior team members.
Information TechnologyIT InfrastructureSoftware Engineering
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
Qualification
Required
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
Company
JPS Tech Solutions
JPS Tech Solutions offers software engineering, cloud, mobile development, and IT infrastructure solutions.
201-500 employees
H1B Sponsorship
JPS Tech Solutions has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (7)
2024 (17)
2023 (9)
2022 (5)
Funding
Current Stage
Growth StageCompany data provided by crunchbase