We are a Remote-First North American based, small, yet fast-growing technology company focused on advanced video communications and applications. We are at the cutting edge of virtual events, creating a wow experience that brings our clients, their teams, their customers, and partners together. Our flagship product, Showtime, has redefined digital events creating an immersive experience to showcase our clients. Touchcast is a truly multinational and multicultural company with operations in North America, Europe, and Asia.

• Designing and developing machine learning and deep learning systems.
• Running machine learning tests and experiments.
• Implementing appropriate ML algorithms.
• Produce project outcomes and isolate the issues that need to be resolved in order to make programs more effective.
• Study and transform data science prototypes.
• Design machine learning systems.
• Research and implement appropriate ML algorithms and tools.
• Develop machine learning applications according to requirements.
• Collaborate with data engineers to build data and model pipelines.
• Manage the infrastructure and data pipelines needed to bring code to production.
• Select appropriate datasets and data representation methods.
• Run machine learning tests and experiments.
• Perform statistical analysis and fine-tuning using test results.
• Train and retrain systems when necessary.
• Extend existing ML libraries and frameworks.
• Keep abreast of developments in the field.

• Proven experience as a Machine Learning Engineer or similar role.
• Deep knowledge of maths, probability, statistics, and algorithms.
• Ability to write robust code in Python.
• Familiarity with version control practices (e.g., git and git workflows).
• Familiarity with Linux.
• Familiarity in dealing with cloud platforms, AWS is preferred.
• Familiarity with machine learning frameworks (e.g., Keras, TensorFlow, or PyTorch) and libraries (e.g., sci-kit-learn, OpenCV, NLTK, and Spacy).
• Familiarity with Docker is a plus.
• Understanding of data structures, data modeling, and software architecture.
• Comfortableness with working from home and a fast-paced work environment.
• Excellent command of spoken and written English.
• Excellent interpersonal and communication skills.
• An academic degree in a related field is a plus but not required.
• Ability to work in a team.
• Great attention to detail.
• Outstanding analytical and problem-solving skills.

• Proven experience as a Machine Learning Engineer or similar role.
• Deep knowledge of maths, probability, statistics, and algorithms.
• Ability to write robust code in Python.
• Familiarity with version control practices (e.g. git and git workflows).
• Familiarity with Linux.
• Familiarity in dealing with cloud platforms, AWS is preferred.
• Familiarity with machine learning frameworks (e.g. Keras, TensorFlow, or PyTorch) and libraries (e.g. scikit-learn, OpenCV, NLTK, and Spacy).
• Familiarity with Docker is a plus.
• Understanding of data structures, data modeling, and software architecture.
• Comfortableness with working from home and a fast-paced work environment.
• Excellent command of spoken and written English.
• Excellent interpersonal and communication skills.
• An academic degree in a related field is a plus, but not required.
• Ability to work in a team.
• High attention to detail.
• Outstanding analytical and problem-solving skills.

This is a rare chance to join a leading-edge technology company with strong financial backing in a period of hypergrowth. Our company is looking to add a diverse group of individuals who thrive on innovation, experimentation, and delivering fantastic customer experiences.

• Work in a fast-paced global and virtual/100% remote company where you can add immediate, impactful & meaningful value
• Work with a fun and smart colleagues
• Flexible Time Off; take-it-when-you-need-it policy
• Competitive market pay & incentives
• Work in an asynchronous yet harmonious communication environment
• Competitive benefits package
• Stipend for full-time remote home office space
• Stipend towards your learning & development
• Incredible education through strong mentorships and learning platforms

 “WE ARE NOT ASKING FOR WIZARDS.
WE ARE LOOKING FOR SMART PEOPLE WHO ARE EAGER TO LEARN.”

If interested please send your updated CV to: talent@corporatica.com and
mention the job title in the subject.