BA/MS/PhD degree in Computer Science, Physics, Math or similar;
Strong mathematical background in Machine Learning and Deep Learning;
Over 5 years of work experience in Machine Learning;
Over 2 years of data science team leadership experience;
Understand the principles of computer science algorithms and data structures, familiar with mathematical computing, including but not limited to statistical models, linear algebra, machine learning, and deep learning;
Solid understanding of anomaly detection and signals processing and analysis;
Ability to postulate and verify research hypotheses, explain and present results.
What you will do
Develop innovative machine learning algorithms for analysis of time series, generated by industrial process;
Analyse algorithm performance bottlenecks and propose solutions for improvement and optimisation;
Prepare new algorithms for deployment and support deployment to production;
Monitor algorithms metrics, statistics and performance;
Work in a team and collaborate with other colleagues to contribute into common knowledge base;
Manage individual project priorities, deadlines and deliverables;
Mentor and navigate team members in terms of possible problem solutions while leaving the space for their own problem solving skills development and creativity;
Perform project planning and track the project progress, make sure that all the deliverables are finished within deadlines and at the highest quality;
Be proactive on possible improvements of the overall team performance and seek for tight collaboration with other teams within the company who work on similar projects.
BA/MS/PhD degree in Computer Science, Physics, Math or similar;
Strong mathematical background in Machine Learning and Deep Learning;
Over 3 years of work experience in Machine Learning (time series);
Understand the principles of computer science algorithms and data structures, familiar with mathematical computing, including but not limited to statistical models, linear algebra, machine learning, and deep learning;
Solid understanding of anomaly detection and signals processing and analysis;
Solid Python skills, application focused rather than data engineering;
Solid experience of working with relational databases (PostgreSQL, MySQL, Oracle);
Practical skills with Frontend (Angular/React/Vue);
Practical Java programming skills;
Docker experience.
What you will do
Develop, test, deploy, maintain and improve software (domain model, web services, integration with 3rd party services) written in Python 3 and Java 11;
Interact with stakeholders including client-facing and Data-science teams to gather and analyse requirements for new features, then design and implement them;
Drive adoption of best practices in code health, testing, and maintainability;
Provide guidance and custom configurations for client-facing team installations.
BA/MS degree in Business Administration, Technical or similar field;
4+ years in a business or executive management role;
Proven experience organising and directing multiple teams and departments, acting like a bridge in between;
Excellent communicator in written and verbal form;
Extremely versatile, dedicated to efficient productivity, detailed oriented;
Experience planning and leading strategic initiatives;
Experience with data analysis;
Experience with budget management;
Consulting experience with a focus on operations management;
Proven success in a project coordination role;
Nimble business mind with a focus on developing creative solutions;
Strong project reporting skills, with a focus on interdepartmental communication;
Presentation skills.
What you will do
Oversee strategic business initiatives from development through successful execution under the guidance of senior leadership and departmental heads;
Assist and communicate with executives in decision-making, program management, and initiative implementation;
Review, design and execute on improvements to org structure, find knowledge and skill gaps and help to address them;
Improve current processes and coordinate organisational procedures for optimised efficiency and productivity;
Serve as liaison between staff, executives, senior leaders, and CEO, regarding company climate, employee well-being, project updates, proposals, and planning;
Assist the human resources department with new hires, including documentation and onboarding processes;
Build and develop relationships with all employees for increased efficiency and effective responsiveness into existing operations, and help to define new operational strategies, working with CEO and executives on special projects;
Serve as a subject matter expert, handling inquiries and developing action plans to address them, and assisting with the preparation and dissemination of communications.