MLOps Engineer

Trusting Social is an AI Fintech pioneer that's revolutionizing credit access in emerging markets. Our mission is "Advancing AI to Meet the Financial Needs of Everyday Consumers with Empathy." We've assessed over 1 billion consumers across four countries, and we're on a mission to provide 100 million credit lines using the power of AI and Big Data.

How You'll Make an Impact

Are you a highly qualified and curious Computer Vision Mlops Engineer ready to build cutting-edge digital identity verification products? Join our dynamic team, where you'll develop and deploy novel machine learning solutions that directly impact our eKYC (electronic Know Your Customer) projects. If you're passionate about leveraging computer vision to solve real-world problems and enhance digital security in a company with a strong social mission, this role is for you!

What You'll Do

We are looking for qualified MLOps Engineer for the eKYC project, who will help us build up our digital identity verification products.

Your primary focus will be:

• Applying MLOps techniques: to optimize the AI model development process by implementing core MLOps practices including model serving, data/model versioning, autoML, CI/CD.
• High-Performance Serving: Develop and maintain scalable model serving infrastructure. Apply quantization and advanced techniques to optimize the system performance, inference cost, and resource consumption. 
• AI System Integration: Design and build AI-based systems that service business operations, ensuring robust error handling and efficient resource management. 
• Model optimization: Optimize and deploy "tiny" ML solutions onto devices with limited computation power, specifically mobile devices and web platforms.

What We're Looking For

• BS/MS in computer science, mathematics, or related fields 
• Having 1+ years of experience in Data science and MLOps
• Solid foundation in software development principles and design. 
• Proficient in Python and familiar with ML framework including Pytorch/ Tensorflow. 
• Experience with Linux Environment, Cloud Storage, Github workflows. 
• Experience with containerization (Docker) is required. Experience with tools (Kubeflow or Airflow) is a must-have for Middle Level and a strong plus for Junior Level. Experiencing OpenCV is a plus for both levels. 
• Basic understanding of machine learning and deep learning techniques.

Your Growth Journey at Trusting Social

Have an opportunity to:

• BS/MS in computer science, mathematics, or related fields 
• Having 1+ years of experience in Data science and MLOps
• Solid foundation in software development principles and design. 
• Proficient in Python and familiar with ML framework including Pytorch/ Tensorflow. 
• Experience with Linux Environment, Cloud Storage, Github workflows. 
• Experience with containerization (Docker) is required. Experience with tools (Kubeflow or Airflow) is a must-have for Middle Level and a strong plus for Junior Level. Experiencing OpenCV is a plus for both levels. 
• Basic understanding of machine learning and deep learning techniques.

What we offer

Join our vibrant team and enjoy:

• Competitive compensation package, including 13th-month salary and performance bonuses
• Comprehensive health care coverage for you and your dependents
• Generous leave policies, including annual leave, sick leave, and flexible work hours
• Convenient central district 1 office location, next to a future metro station
• Onsite lunch with multiple options, including vegetarian
• Grab for work allowance and fully equipped workstations
• Fun and engaging team building activities, sponsored sports clubs, and happy hour every Thursday
• Unlimited free coffee, tea, snacks, and fruit to keep you energized
• An opportunity to make a social impact by helping to democratize credit access in emerging markets.

At Trusting Social, we live by ownership, integrity, and agility in execution. We believe in doing what's right, what's best, and what's innovative. If you're smart, driven, and want to make a difference in the world with the most advanced and fascinating technology, come join our team. We offer the runway to truly make an impact.

Learn more about us:
https://trustingsocial.com
https://www.youtube.com/watch?v=inAEDGvOcL8&t=29s