Artificial Intelligence Solutions Architect
3 days ago
Responsibilities:
- Set technical direction, define best practices, and drive innovation in machine learning technologies, leading and inspiring a team of machine learning engineers.
- Design, develop, and deploy machine learning models and algorithms to solve complex business problems and drive insights.
- Collect, clean, and preprocess data from various sources to train machine learning models, ensuring data quality and suitability for modeling purposes.
- Identify and engineer relevant features from raw data to improve model performance and predictive accuracy.
- Train and evaluate machine learning models using appropriate techniques and metrics, iterating and refining models as needed to improve performance.
- Deploy machine learning models into production environments, working closely with engineering teams to ensure scalability, reliability, and performance.
- Monitor and maintain the performance of deployed models, identifying and addressing issues as they arise.
Requirements:
- Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or related field.
- 7+ years of experience in machine learning engineering, with a proven track record of developing and deploying machine learning models and systems.
- Leadership experience, with a track record of leading machine learning teams and driving impactful results.
- Proficiency in programming such as Python, Java, or Scala, and experience with machine learning libraries and frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Strong understanding of machine learning algorithms and techniques, including supervised and unsupervised learning, deep learning, and reinforcement learning.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform, and familiarity with distributed computing and big data technologies.
Compensation: The estimated salary for this role is $220,000 per year.
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