Data Scientist
22 hours ago
We are seeking a highly skilled Senior Machine Learning Engineer to join our team. This role involves developing and optimizing time series forecasting models for real-time predictive analytics, as well as implementing reinforcement learning algorithms for high-frequency trading and decision-making systems. Your expertise in GIS tools and spatial data analysis will help us extract valuable insights from large-scale datasets.
The ideal candidate will have hands-on experience in developing and deploying machine learning models in production environments, as well as expertise in GIS tools and spatial data analysis techniques. Strong knowledge of deep learning, reinforcement learning, and statistical modeling is also required. Proficiency in Python, TensorFlow, PyTorch, and cloud platforms (AWS, GCP, or Azure) is necessary for successful deployment.
Responsibilities:
- Develop and optimize time series forecasting models for real-time predictive analytics.
- Implement reinforcement learning algorithms for high-frequency trading and decision-making systems.
- Work with GIS (Geographic Information Systems) and spatial data analysis to extract meaningful insights.
- Deploy machine learning models in production, ensuring scalability and efficiency.
- Process and analyze large-scale datasets to build robust AI-driven solutions.
- Collaborate with cross-functional teams to integrate ML models into business applications.
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