Location: Hybrid (Sunnyvale)

Duration: 12+ W2 Contract (C2C not available)

Payrate: $55 - $62/hr

Job Overview:

The Machine Learning Engineer will design, develop, and deploy AI/ML applications at scale. The role involves creating robust systems, building data pipelines, and working with cross-functional teams to integrate AI solutions into products. You will be responsible for developing APIs, optimizing performance, and ensuring smooth deployment of machine learning models.

Key Responsibilities:

• Design, develop, and deploy AI/ML applications end-to-end
• Build scalable data pipelines and infrastructure for AI/ML operations
• Collaborate with teams to integrate AI/ML solutions into products
• Develop APIs for communication between ML models and other systems
• Optimize AI/ML performance through testing and tuning
• Ensure seamless deployment of models using CI/CD pipelines

Required Skills & Experience:

• 1+ years of experience in building AI/ML applications
• Strong system design skills for scalable AI/ML systems
• Proficiency in Python, C++, Java, or similar languages
• Experience with machine learning frameworks (TensorFlow, PyTorch)
• Knowledge of DevOps and CI/CD practices
• Experience with distributed systems and cloud platforms (AWS, GCP, Azure)
• Familiarity with MLOps tools and workflows

Education:

• Bachelor’s degree in Computer Science, Engineering, or related field (Master’s or PhD preferred)

Preferred Skills:

• Familiarity with Generative AI and chatbot development
• Contributions to open-source ML projects
• Experience with RAG techniques or similar