AI/ML Solutions Architect: GenAI, MLOps & Cloud Platforms

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

Job summary

A technology solutions firm in Washington, DC is seeking an AI/ML Solutions Architect to design and implement cutting-edge AI and ML solutions. This technical leader will use modern software engineering practices and MLOps principles, ensuring secure model deployment on cloud platforms like AWS and Azure. Candidates must have advanced proficiency in Python, solid experience with key AI/ML libraries, and the ability to mentor team members, driving best practices and scaling AI/ML adoption in the organization. A commitment to inclusivity and equal opportunities is emphasized.

Qualifications

• Advanced proficiency in Python for machine learning.
• Extensive experience with AI/ML open-source libraries.
• Proven experience in deploying end-to-end AI/ML systems.
• Strong emphasis on MLOps principles and tools.
• Deep expertise in Generative AI solutions and performance optimization.
• Experience with cloud platforms (AWS/Azure).
• Strong knowledge of Databricks for development acceleration.
• Excellent communication and mentorship skills.

Responsibilities

• Design and implement AI/ML solutions for the client.
• Drive platform adoption using Databricks.
• Ensure secure deployment of models via cloud platforms.
• Serve as a technical leader and mentor.

Skills

Python programming

AI/ML libraries (scikit-learn, PyTorch)

MLOps tools (Docker, Kubernetes)

Generative AI solutions

Cloud platforms (AWS, Azure)

Databricks expertise

Data visualization

Systems Thinking

Communication skills

Job description

A technology solutions firm in Washington, DC is seeking an AI/ML Solutions Architect to design and implement cutting-edge AI and ML solutions. This technical leader will use modern software engineering practices and MLOps principles, ensuring secure model deployment on cloud platforms like AWS and Azure. Candidates must have advanced proficiency in Python, solid experience with key AI/ML libraries, and the ability to mentor team members, driving best practices and scaling AI/ML adoption in the organization. A commitment to inclusivity and equal opportunities is emphasized.