Scientific Software Engineer

• Company Aleph Technologies
• No. of Openings 10+
• Salary Not Disclosed
• Work Type on-site

Job Description :

About us:

Aleph Technologies provides an AI-powered low-code platform to chemical and process industries to optimize energy efficiency and reduce industrial emissions. We believe that digital transformation should be integrated at the core of manufacturing ecosystem to achieve operational excellence and reduce carbon emissions, with digital twin being the key enabler for the digital transformation. Therefore, Aleph is on a mission to accelerate development and usage of digital twins and empower the twins with cognitive ability to automatically provide optimal insights for real-time operations.

We are currently expanding our team in Singapore and are looking for a passionate, self-motivated, and hungry-to-learn individual, who is also excited to work in a fast-paced start-up environment. If you are an engineer who enjoy developing products and technologies that make a direct positive impact towards the sustainable future, reach out to us! Please note that this position is currently open for Singaporeans or Permanent Residents only!

Key Responsibilities:

• Take ownership on the development and implementation of modules related to digital twin performance evaluation, its calibration, and process optimization.

• Develop interfaces between various digital twin software and Aleph’s platform for executing and querying digital twins using real-time data.

• Manage the database schemas and structures and build new schemas when needed.

• Build clean and high-performance code that can be easily integrated within the existing architecture.

• Work closely with the front-end development team to integrate the new functionalities within the Web-App and support them in understanding dependences and workflows.

• Support commercial project delivery team by assisting in troubleshooting and algorithm tuning as needed.

• Document the development and implementation activities to facilitate knowledge-transfer.

Essential Skills:

• Well-versed with Python and associated libraries (e.g. pandas, numpy, sk-learn, sk-opt, win32, etc.). Expertise in object-oriented programming approach for developing new modules.

• Expertise in working with COM and developing APIs to third party software.

• Expertise in building and executing ML models for the purposes of data cleaning, analytics, and predictions.

• Knowledge of formulating generic optimization models and ability to solve them using open-source or custom libraries.

• Experience of handling large data sets (time-series, numerical, categorical, etc.) from different sources.

• Fluent in using Git for managing codebases and performing version control.

• Experience in Web-App development would be advantageous, especially ReactJS, Django/Flask, etc.

• Hands-on experience in mathematical modelling and optimization (in any sector) is a plus.

Education and Work Experience:

• Advanced engineering degree (Masters or PhD in Chemical Engineering, Process Engineering, Operations Research, Electrical Engineering, etc.). Extra-ordinary fresh graduates can also apply.

• 1-3 years of experience working in the industrial software/automation companies.

• Ability to work collaboratively with team members such as algorithm formulation, workflow development, code review, and solution testing.

• Great communication and writing skills. Fluency in English is compulsory. Fluency in additional languages would be a plus.

Perks:

• Competitive renumeration and employee stock options.

• Working closely with the co-founders and founding team.

• Flexible work hours and work arrangements.

• Accelerated learning and opportunity to become an early employee of a company.