Data Scientist Opportunity
2 weeks ago
Job Overview:
We are seeking a seasoned MACHINE LEARNING ENGINEER to lead the development of AI-powered solutions. As a key 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 extensive experience in real-time predictive modeling, large-scale data processing, and deployment of ML models in production environments.
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.
Career Advancement:
- Opportunities for career growth and professional development.
- Competitive salary and benefits package.
- Collaborative and growth-oriented environment.
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