Machine Learning Engineer 3

Job Title: Machine Learning Engineer 3 Job Location: Sunnyvale, CA -Onsite - Hybrid Location: 12 Months W2 Preferred (No Sponsorship required) Primary Function of Position The Machine Learning Engineer is responsible for designing, developing, and deploying AI/ML applications at scale. The role focuses on architecting robust systems for AI/ML workflows, building scalable data pipelines, and collaborating with cross-functional teams to integrate AI solutions into existing products. This position plays a key role in developing APIs, optimizing application performance, and ensuring the seamless deployment of models in production environments. Essential 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 5 years of 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 Required Education and Training Bachelor's degree in Computer Science, Engineering, or related field; Master's or PhD preferred Working Conditions Preferred Skills and Experience Familiarity with Generative AI models and techniques Experience with chatbot development, particularly using RAG techniques or similar. Contributions to open-source ML projects Knowledge of DevOps practices and CI/CD pipelines TB_EN