
Geospatial Data Science Innovator
2 days ago
Technical leaders are sought after to steer cutting-edge geospatial data science initiatives.
The ideal candidate will possess a deep understanding of foundational research and development in applied machine learning, as well as hands-on experience with training large, optimized, scalable ML models.
We are looking for innovative thinkers who can envision solutions to real-world, ambiguous business use-cases with low latency/high throughput.
- Job Description
A key role in the Applied Data Science Team involves developing and implementing time-bound, end-to-end solutioning of large-scale ML applications.
This includes resource and requirements gathering, data collection, cleaning and annotation, model development, validation, deployment, monitoring, etc.
Required Skills and Qualifications:
A strong background in computer vision, NLP, learning theory, optimization, ML+Systems, foundational models, etc.
Proficiency in at least one general programming language (preferably Python) along with strong hands-on experience with ML frameworks (e.g. PyTorch)
Experience working in industry on projects from proof-of-concept to deployment and monitoring, while partnering with business stakeholders, product managers, engineers, and other data scientists to translate business needs into technical deployed solutions
Benefits:
Dedicated allowances for learning and skill development
Comprehensive leave policy with casual leaves, paid leaves, marriage leaves, bereavement leaves
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