Aigorithm

Data Analytics : Summer 2020, Full-time, Remote

In this role, we’re looking for someone who can strive and thrive as part of a startup! You are expected to be autonomous however we will provide mentorship so you also learn. You’ll write code from scratch, perform exploratory data analysis, produce visualizations and do real work to enhance our data analytics pipeline.

To Apply: fill in the form below!👇

*Activities*
- Run PoCs and Pilot projects related to end-to-end model development including data exploration, data
preparation, problem modeling, solution design and implementation.
- Manipulate data sets, build statistical predictive models.
- Present and visualize ideas/analysis/interpretations in a clear and concise manner.

*Skills:*
- Academic study in Computer Science, Mathematics, Statistics, Engineering or economics
- Experience in one or both of the following programming skills (Python, R)
- Experience in mathematical problem-solving methods, Excel, and SQL
- Knowledge of machine learning models (supervised, unsupervised)
- Knowledge of statistical concepts and probabilistic models
- Basic Know-how on Extract, Transform and Load (ETL) of Big Data in enterprise environments and cloud
infrastructure (e.g., AWS, Azure)
- Ability to develop and work with both big Data and cloud technologies is a plus
- Knowledge in one or more analytics & visualization tools (e.g., Tableau, Kibana, etc.) is a plus

Microsoft Forms

Computer vision : Summer 2020, Remote.

In this role, we’re looking for someone who can strive and thrive at a Machine Learning startup! You’ll write code from scratch, build new models and do real work to enhance our object detection pipeline.

To Apply: send your CV to [email protected] OR apply through the form below!�

*Role:*
-Review state of the art methods for object detection, semantic segmentation, landmark localisation using deep CNN techniques
-Implement ideas and methods from latest conference papers
-Train new models using large datasets in an efficient manner using concurrent CPU data processing in addition to GPUs
-Monitor training process and tune hyper parameters
-Generate detailed performance evaluation reports and present the to the team
-Analyze evaluation results and propose ideas for model performance improvement

*Minimum Qualifications:*
-Solid Software Engineering skills, including knowledge of data structures and algorithms
-Ability to write clean code that is easy to use by colleagues
-Knowledge of Python and one of the deep learning frameworks like Keras, Tensorflow or PyTorch
-1+ year experience working with CNNs

*Bonus Skills:*
-Experience with Docker and AWS
-Knowledge of Object detection methods like SSD, YOLO, Faster-RCNN, Mask-RCNN
-Experience training Yolo models