Senior Machine Learning Engineer
NimbleBox.ai
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See open jobs at NimbleBox.ai.See open jobs similar to "Senior Machine Learning Engineer" Techstars.Key Responsibilities
- Design, develop, and deploy ML models and algorithms to support business operations
- Work with data scientists, software engineers, and other cross-functional teams to develop, test, and deploy ML models in production
- Monitor and optimize ML model performance in production
- Collaborate with data engineers to design and implement data pipelines and infrastructure for ML model training and deployment
- Conduct research and experimentation to develop new ML algorithms and techniques
- Stay up-to-date with the latest ML technologies and best practices, and share knowledge with the team
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 5+ years of experience as an ML Engineer or similar role
- Strong programming skills in Python, with experience in popular ML libraries such as TensorFlow and PyTorch
- Experience with deploying ML models in production, using technologies such as AWS SageMaker, Azure Machine Learning, or Google Cloud AI Platform
- Knowledge of data engineering and infrastructure for ML, such as data pipelines, storage, and compute
- Familiarity with experiment tracking, model management, and other MLOps practices
- Excellent problem-solving and communication skills, with the ability to work effectively in a cross-functional team
This job is no longer accepting applications
See open jobs at NimbleBox.ai.See open jobs similar to "Senior Machine Learning Engineer" Techstars.