Data Scientist
3 weeks ago
**About Us**
RadiusAI is an early-stage startup that is helping brick & mortar retailers provide a level of experience that surpasses online experiences through AI and video analytics. Using AI we convert your live video into actionable intelligence using our cutting edge Viztel platform. RadiusAI is a US based computer vision analytics company providing real-time data to help create greater operational efficiency in health care, retail, and critical infrastructure. Radius AI technology features multi-camera tracking, real-time analytics, rapid, and cost effective, edge processing, and customized offers
**About You**
You are driven and passionate about data and making a difference. You are looking to join a promising early-stage startup to have a deep impact. You understand code quality and can take initiatives to improve it. You are always curious, and you are humble about what you already know.
**About the Job**
You will work with state-of-the-art technologies in our data science team. You will be responsible for researching, developing, training, optimising and deploying machine learning models and analytic systems using ML models and algorithms.
**Requirements**:
- Degree in a STEM field
- 2+ Years of professional experience in Data Science / Deep Learning.
- Knowledge of basic deep learning techniques
- Knowledge of modern software design and software engineering practices in Python
- Knowledge of of computer science fundamentals including data structures and algorithms
- Experience in data-driven problem-solving and the deployment of machine learning models
- Experience with cloud-computing tools, architectures and approaches
- Experience in working in a team and communicating to other data scientists and engineers
**Pluses**
- Experience in PyTorch and Tensorflow
- Experience in deploying ML-models at scale
- Experience in data filtering and augmentation
- Experience in data analysis tools and frameworks (pandas, numpy, matplotlib, etc.)
- Experience in data visualization, data introspection and dashboard design
- Experience with public cloud (AWS, Azure, GCP)
- Experience in distributed computing
- Experience in causal inference
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