Machine Learning Engineer
2 days ago
Machine Learning Engineer III
12 - month contract
Hybrid in Sunnyvale, CA
Overview:
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.
Responsibilities:
- 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
Qualifications:
- Bachelor's degree in a related field
- 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
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