
Senior Data Analyst
11 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.
The ideal candidate will have proven experience in real-time predictive modeling and large-scale data processing, with strong knowledge of deep learning, reinforcement learning, and statistical modeling. Experience with GIS tools and spatial data analysis techniques is also required. Proficiency in Python, TensorFlow, PyTorch, and cloud platforms (AWS, GCP, or Azure) is necessary for deploying ML models in production environments.
Key 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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