Diversiteam is a global marketplace of vetted engineering talent that enables opportunities for young individuals to get out of their comfort zone, expand their horizon and develop themselves personally and professionally by pursuing a career overseas. To do so, we operate as a marketplace to effectively connect this aspiring talent with rapidly growing organisations such as start-ups and agile SMEs. Thus these organisations have the advantage of building competent teams with fresh ideas, technological know-how and a solid understanding of foreign markets, cultures and consumer behaviour. In addition to that, the diversity and cross-cultural exchange that we empower in teams is one of the essential factors that helps our clients to drive their creativity, innovation and global competitiveness to be future-ready for tomorrow’s global economy.
The vision that we pursue is to enable opportunities for aspired individuals and organisations to unfold their full potential and deliver results that they can be proud of. To make this a reality our mission is to shape diverse teams of creativity, innovation and development that would benefit both, organisations and its employees.
We at Diversiteam are currently looking for an enthusiastic Data Analyst / Data Scientist / AI Engineer who is passionate about technology, is open for new challenges and wants to develop something that she/he can be proud of.
Job Responsibilities
Interact closely with research project team which includes academics, clinicians and industry partners.
Conceptualise, develop, integrate and maintain in-house AI and Cognitive solution.
Apply state-of-the-art AI algorithms, explore alternatives and build working prototypes. You will also deploy systems and scale the solution.
Create models, train and leverage machine learning APIs to build solution with embedded intelligence in use-cases like Chatbots.
Follow Agile/Lean/Scrum software methodologies for development. Certified ScrumMaster (CSM) will be an advantage.
To research and be updated on the state of the art on AI, data engineering and data science practices. Be plugged into the wider community on these key areas.
Job Requirements
Bachelor’s or Master’s degree in AI, Machine Learning, Statistics, Computing, Biostatistics, Information Technology, Social Sciences or related fields.
Experience preferably in
Open source DevOps tools and software-as-a-service solutions
Development and implementation of AI and machine learning algorithms
AI or deep learning work at a commercial company or research laboratory
Experience in building deep learning models with popular frameworks e.g. TensorFlow. Knowledge of common machine learning techniques and key parameters that affect performance.
At least 2-3 years hands-on experience in developing applications and with various data analysis and visualisation tools. Experience with R and/or Python.
Proven experience with track record of processing and extracting value from large data sets. i.e. Data analysis and discovery with new insights. Understand relevant statistical measures (development and evaluation data sets, confidence intervals, significance of error measurements, etc)
Data warehousing/RDBMS experience with SQL Server, Oracle, MySQL, etc.
Demonstration of self-learning through hackathons, MOOC or open user-group and conference participation. Self-motivation with side projects, Kaggle competitions, etc.
Proficient in running deep learning modules on Cloud platforms like Azure or Google Cloud. Able to use Virtual Machine instances on these platforms. Experience in test automation, test-driven development and cloud-based implantation will be an advantage.
Strong system-building and management skills and keen interest in working with emerging technologies and frameworks.
Good awareness of security considerations/best practices for web-facing applications. Having a strong interest in learning new security technologies and tools are essential.
Good data skills; able to combine technical visualisation libraries (e.g. Python) with more user-friendly tools like Tableau. Ability to apply good design principles to visualisation, dashboard and reports
Strong communication skills and early adopter and growth mindset is highly regarded.
Ability to present and explain difficult concepts clearly and concisely in plain English.
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- Company:
Diversiteam Pte Ltd - Designation:
Data Analyst / Data Scientist / AI Engineer - Profession:
Engineering - Industry:
Computer and IT