Senior Machine Learning Engineer

Model Development and Deployment: Design, develop, and deploy machine learning models for computer vision, geospatial analyses, and LLM chatbots.

Data Pipeline Management: Collect, preprocess, and analyze large datasets from diverse sources, including satellite imagery, geospatial data, and textual data.

Performance Monitoring and Optimization: Monitor the performance of deployed models and implement improvements to enhance accuracy, efficiency, and scalability.

Troubleshooting: Troubleshoot and resolve issues related to model performance, data drift, and software.

Collaboration and Communication: Collaborate with data scientists, software engineers, and domain experts to integrate machine learning solutions into existing systems.

Research and Innovation: Stay up-to-date with the latest advancements in machine learning, computer vision, geospatial analysis, and natural language processing

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Qualifications
Education: Bachelors degree in a quantitative field
Experience: 5 years experience working on projects involving or directly adjacent to machine learning
Cloud Computing: Proven experience with Cloud Platforms like Azure, AWS, or GCP.
Programming Languages: Strong proficiency in Python & SQL.
ML Algorithms: Experience with deep learning techniques and architectures (e.g., CNNs, RNNs, Transformers).

Qualifications
Education: Bachelors degree in a quantitative field
Experience: 5 years experience working on projects involving or directly adjacent to machine learning
Cloud Computing: Proven experience with Cloud Platforms like Azure, AWS, or GCP.
Programming Languages: Strong proficiency in Python & SQL.
ML Algorithms: Experience with deep learning techniques and architectures (e.g., CNNs, RNNs, Transformers).