Machine Learning Engineer 1

Description:

JOB DESCRIPTION

Job Title EA ML Engineer
Ways of Working (as applicable) Hybrid
Assigned Location (as applicable) Sunnyvale
Travel Percent for Job (as applicable) 0%
Payrate: BR/Hr

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
•1+ 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
Job Posting Type
Additional Details

• Pre-identified worker (First Name, Last Name) & Supplier Name : (No Value)
• Job Posting Type : Agency Recruited Worker Required
• Worker Legal Name (For Manager Sourced Only) : (No Value)