Maxonic maintains a close and long-term relationship with our direct client. In support of their needs, we are looking for a Machine Learning Engineer
Job Description:
Job Title: Machine Learning Engineer
Job Type: 12 months contract (W2 payment term only, no H1B visa sponsorship)
Job Location: Sunnyvale, CA (local candidates only, no relocation)
Work Schedule: On-site ( In person 3 days a week)
Interview process: On-site interviews
Job Duties
• Design, develop, and deploy end-to-end AI/ML applications at scale
• Architect robust and scalable systems for AI/ML workflows
• Build and maintain scalable data pipelines and infrastructure to support AI/ML operations
• Collaborate with cross-functional teams to integrate AI/ML solutions into existing products
• Develop and implement APIs to enable communication between machine learning models and other systems
• Optimize the performance of AI/ML applications through testing, tuning, and profiling
• Ensure the smooth deployment of AI/ML models by integrating continuous integration/continuous deployment (CI/CD) pipelines
Required Skills and Experience
• Professional experience building end-to-end AI/ML applications
• Strong system design skills with experience architecting complex, scalable AI/ML systems
• Strong software engineering skills with proficiency in Python and/or C++/C/Java
• Knowledge of DevOps practices and CI/CD pipelines
• Experience with machine learning frameworks such as TensorFlow or PyTorch
• Experience with distributed systems
• Solid understanding of data structures, algorithms, and software design principles
• Expertise in MLOps practices, tools, and workflows
• Experience in integrating AI/ML models into production environments with performance monitoring and version control
• Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies
About Maxonic:
Since 2002 Maxonic has been at the forefront of connecting candidate strengths to client challenges. Our award winning, dedicated team of recruiting professionals are specialized by technology, are great listeners, and will seek to find a position that meets the long-term career needs of our candidates. We take pride in the over 10,000 candidates that we have placed, and the repeat business that we earn from our satisfied clients.
Interested in Applying?
Please apply with your most current resume. Feel free to contact Nina Schindler ( / 408-400-2299) for more details.