AI Resume Builder
JOIN NOW Post Job
J
AI

ML Engineer

Jobs via Dice · Walnut Creek, CA

Actively hiring Posted 7 months ago

Role overview

  • Design and build AI solutions using Google Cloud AI and Salesforce AI platforms
  • Train and fine tune models for performance, scalability, and accuracy
  • Collaborate with stakeholders across the company to understand business requirements and identify opportunities for AI-driven solutions
  • Evaluate training data for new solutions and ensure high quality data sources
  • Work with IT engineering and IT operations teams to integrate and deploy new solutions into company business systems
  • Implement testing and ongoing monitoring programs so that deployed models improve reliability and accuracy over time
  • Pilot proofs of concept to test new model approaches and validate proposals brought by business partner
  • Be responsible for components of business partner-led projects and lead internal projects to improve processes and operations

Responsibilities

Kforce has a client that is seeking an AI Specialist/ML Engineer in Walnut Creek, CA. This is a contract to hire hybrid onsite role.

Basic qualifications

  • Bachelor's degree In Computer Science, Data Science, Artificial Intelligence, or a related field equivalent combination of education and experience
  • 7+ years of relevant experience including data science, analytics, data engineering, and/or software engineering; Or 3+ years of experience in developing and deploying machine learning or AI models
  • Strong mathematical and analytical capacity
  • Strong communication and cross-team collaboration skills
  • Ability to work in an agile environment and work on multiple projects simultaneously
  • Proficient in relevant development tools such as Python, SQL
  • Experience with generative AI frameworks and machine learning libraries
  • Understanding of machine learning algorithms, natural language processing, and deep learning architectures
  • Experience and understanding of cloud technologies and implementations
  • Experience with business intelligence tools
  • Visa sponsorship is not available for this position

Tags & focus areas

Used for matching and alerts on DevFound
Contract Machine Learning
Common Questions

Frequently asked questions

Quick answers about how DevFound's AI matching, resumes, and referrals work.

DevFound's AI Copilot ingests your profile, goals, and live job data to deliver curated matches in seconds. Every match includes a resume variant, suggested referrals, and interview prep so you can act immediately. The more feedback you provide, the sharper the Copilot becomes.

AI-led job searches shrink the hours spent sifting through boards and formatting resumes. DevFound pairs automation with your personal outreach, so you reserve energy for interviews and negotiation. Traditional networking still matters, but AI gives you a lift before you even send a message.

Modern AI roles expect comfort with production-grade code, data fluency, and practical ML tooling. The strongest candidates pair deep technical chops with storytelling—translating model impact to product, GTM, and exec partners. Continuous learning keeps you ahead as stacks evolve.

DevFound rewards active seekers. Keep your profile fresh, respond to match quality prompts, and enable alerts so you never miss a role. The AI prioritizes companies and teams that align with your feedback, accelerating both introductions and interview invites.

High-density tech hubs continue to host the deepest AI talent pools, yet distributed teams are catching up fast. Use DevFound filters to hone in on onsite, hybrid, or fully remote roles and watch openings expand across time zones.

DevFound aggregates thousands of remote AI openings and flags the nuances—core hours, async culture, and visa needs—up front. The Copilot also recommends how to position your distributed work experience so hiring managers know you can thrive on a remote team.

Still have questions?

Contact Support