
Predictive Modeling Engineer
1 day ago
About the Role:
We are seeking a talented MACHINE LEARNING ENGINEER to contribute to the development of innovative AI-powered solutions. As a member of our data science team, you will be responsible for designing and implementing machine learning models that drive business outcomes.
The ideal candidate will have strong knowledge of deep learning, reinforcement learning, and statistical modeling, as well as experience with GIS tools and spatial data analysis techniques.
Responsibilities and Requirements:
- 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.
- Requirements:
- Proven experience in real-time predictive modeling and large-scale data processing.
- Strong knowledge of deep learning, reinforcement learning, and statistical modeling.
- Experience with GIS tools and spatial data analysis techniques.
- Proficiency in Python, TensorFlow, PyTorch, and cloud platforms (AWS, GCP, or Azure).
- Hands-on experience in deploying ML models in production environments.
What We Offer:
- Competitive salary and benefits package.
- Opportunities for career growth and professional development.
- Collaborative and growth-oriented environment.
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