Machine Learning Architect (AWS)
Rackspace
about 1 year ago
Los Angeles, CA, USA +3 more
Staff+
H1B Sponsor
Responsibilities
- Design and execute machine learning projects from proof-of-concept to production deployment.
- Collaborate with business representatives to understand solution requirements.
- Manage all project phases including problem definition, data annotation, and model deployment.
- Architect ML solutions on cloud platforms like AWS, Azure, and GCP.
- Stay updated on the latest machine learning research and adapt models accordingly.
- Establish credibility and build strong customer relationships through technical excellence.
Requirements
- Masters with 10+ years or PhD with 6+ years of experience in Machine Learning, NLP, and Deep Learning.
- Minimum 5+ years of experience architecting and building Machine Learning solutions.
- Minimum 5+ years of experience with cloud platforms (AWS, GCP, Azure).
- Experience building ML models and knowledge of ML techniques is required.
- Familiarity with hugging face, TensorFlow/PyTorch, and transformer architectures.
- Strong coding experience in Python and architectural patterns like microservices.
- Solid understanding of agile methodologies and project planning for ML.
- Strong problem-solving skills and leadership in technical issues.
- Excellent communication and presentation skills for diverse audiences.
Tech Stack
AWSAzureGoogle Cloud PlatformHugging Face TransformersPythonPyTorchTensorFlow
Categories
AI & MLData Science