Staff Engineer (Machine Learning)

Kforce - Phoenix, AZ

Full-time - Senior

Phoenix, AZ

Administrative and Support Services

About the position

The Staff Engineer (Machine Learning) will lead the development and implementation of advanced AI and machine learning solutions that enhance the company's products and services. This role involves collaborating with cross-functional teams to design, build, and deploy scalable AI systems that address complex business challenges. The ideal candidate will have extensive experience in delivering AI solutions at scale and will be responsible for guiding a team to meet aggressive project timelines.

Responsibilities

• Provides technical direction related to project deliverables for both on-shore and off-shore team members
• Contributes to project deliverables by performing software development and/or system administration tasks as needed
• Reviews business requirements and technical analysis to develop system implementation approaches designed to meet business objectives, while also consulting with Solution/Enterprise Architects
• Actively leads efforts to ensure code quality and coding standards are met, including but not limited to pull request reviews, formal code reviews, or coaching for team members
• Provides support and resolution of open IT issues escalated by the product team
• Performs other job-related duties as assigned

Requirements

• Minimum of 10 years of experience in engineering, developing, planning and executing scalable technology solutions, tools, operations and support
• Expert knowledge of cloud architectures, and services within Amazon AWS, including AI/ML services like Bedrock and SageMaker
• Significant experience in AI and ML technologies, tools, and processes such as MLFLow, RAGAS, RAG, prompt engineering, ML or LLM Ops, computer vision or NLP, ML model training and inference
• Demonstrates accountability, sound decision making, analytical thoroughness, clear and concise communications, and the ability to lead and coach team members
• Proficiency in programming languages such as Python, TypeScript/JavaScript, Angular or React, or NodeJS
• Experience with relational and NoSQL databases
• Familiarity with infrastructure as code tools like Terraform or CloudFormation
• Knowledge of CI/CD tools and processes such as GitHub Actions

Nice-to-haves

• Experience working in a fast-paced environment Agile SDLC process

Benefits

• Medical, dental, and vision insurance
• Health Savings Account (HSA)
• Flexible Spending Account (FSA)
• 401(k) plan
• Life, disability, and AD&D insurance
• Paid time off for salaried personnel
• Paid sick leave for hourly employees on Service Contract Act projects