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Job description

Objective

Deliver successful projects in the iGaming industry

Areas of Responsibility

• Statistical modeling and hypothesis testing
• Designing, training, and validating results from a breadth of machine learning algorithms
• Writing clean, efficient SQL
• Building and testing Python applications
• Building deep neural networks with modern tools, such as PyTorch or Tensorflow
• Collaborating via Git

Skills

• Machine learning and engineering
• Statistical modeling
• Data mining and analysis
• Advanced English, good communication with business stakeholders
• Documentation development

Experience

• Experience with online learning, reinforcement learning, contextual bandits algorithms
• Experience in launching and validating online campaigns using A/B testing or the above-mentioned methods
• Prior experience in online gaming, e-commerce, and entertainment or similar industries

Terms & conditions

Rate: $35 - $75 per hour

Allocation: 20-30 h/ week

We Offer

- Scientific or engineering challenges
- Work with disruptive deep-tech startups
- Work with rock stars (senior-level engineers, Ph.D.)
- Meaningful social and environmental projects
- Transparent, professional growth plan depending on your impact
- Remote work from any location
- Flexible working hours
- Unpaid unlimited personal time off
- Regular Team Building & company-wide team events

Job Type: Part-time
Part-time hours: 20-30 per week

Salary: £35.00-£75.00 per hour

Application question(s):

• Do you have a strong background in ML, and enjoy applying theory to develop real-world applications, with expertise in personalized machine learning algorithms?
• Do you apply techniques such as classification, clustering, regression, Deep Learning (CNN, RNN, GANs), and Reinforcement learning methods to build scalable solutions?
• Do you have hands-on experience implementing production machine learning systems at scale in Python?
• Do you have experience with large-scale, distributed data processing frameworks/tools and cloud platforms like AWS?
• Please share examples of the things you have built, such as products developed online or projects contributed to on GitHub.(via Cover Letter or email)

Language:

• English fluently (required)

Work Location: Remote