Tech Stack
AWSAzureCloudGoogle Cloud PlatformPyTorchScikit-LearnTensorflow
About the role
- Drive the strategic vision and development of cutting-edge machine learning models and algorithms
- Build scalable ML pipelines, ensure data quality, and deploy models into production environments
- Oversee preprocessing and analysis of large datasets
- Collaborate with data scientists, software engineers, and product teams to integrate ML models into products and services
- Monitor and evaluate the performance of deployed models and make necessary adjustments
- Mentor and guide junior engineers and data scientists; publish research and develop new methodologies and frameworks for ML applications
Requirements
- Minimum of 15 years of relevant work experience and a Bachelor's degree or equivalent experience
- Deep expertise with ML frameworks like TensorFlow, PyTorch, or scikit-learn
- Extensive experience with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment
- Proven track record of leading the design, implementation, and deployment of machine learning models