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MLops Engineer

Trusting Social

None

In loco

EUR 40.000 - 80.000

Tempo pieno

30+ giorni fa

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Descrizione del lavoro

An innovative AI Fintech company is seeking a skilled MLOps Engineer to enhance its digital identity verification products. In this dynamic role, you'll develop and manage backend systems for various machine learning models, ensuring smooth integration across teams. You'll work on exciting projects like fraud detection and OCR, using cutting-edge technology to make a significant social impact. Join a forward-thinking team that values integrity, ownership, and agility, and be part of a mission to democratize credit access in emerging markets. If you’re passionate about AI and making a difference, this opportunity is for you.

Servizi

Competitive compensation package
Comprehensive health care coverage
Generous leave policies
Onsite lunch options
Grab for work allowance
Team building activities
Unlimited free coffee and snacks
Opportunity to make a social impact

Competenze

  • 1-3 years of experience in Data Science and MLOps required.
  • Proficient in Python and software development.

Mansioni

  • Develop and manage backend systems for ML models.
  • Integrate ML solutions and optimize system performance.

Conoscenze

Data Science
MLOps
Python
Software Development
Communication Skills

Formazione

BS in Computer Science
MS in Computer Science

Strumenti

Docker
Git
TensorFlow
PyTorch
OpenCV

Descrizione del lavoro

Responsibilities

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:

  • Developing and managing the backend system which encapsulates and provides control flow of various ML models.
  • Developing ML models and implementing novel solutions for various problems including fraud detection, face matching, OCR in computer vision.
  • Act as interfaces between product team, engineering team and data science team to ensure smooth integration of ML solutions.
  • Integrate ML models and ensure consistency in model interfaces and interaction as per product requirements.
  • Monitor and optimize system performance and resource consumption.
  • Manage development servers and environments.
  • Communicate with the product team, infrastructure team, engineering team and data science team to ensure consistency in requirement, development, integration, and deployment.
  • Optimize and deploy "tiny" ML solutions on limited computation power devices such as mobile devices and web platforms.
  • This position reports to the Lead data scientist.

(Optional) Have an opportunity to work under supervision of an experienced data scientist to:

  • Build eKYC components (object classification/detection, OCR, fraud detection, abnormal detection), using state-of-the-art methods.
  • Develop ML models and provide solutions for acquisition, verification, validation, and fraud detection of user data.
Requirements
  • BS or MS in Computer Science or related fields.
  • 1-3 years of experience in Data science and MLOps.
  • Proficient in software design and software development.
  • Proficient in Python, scripting language. Experience with other programming languages (C++, Java, Javascript...) is a plus.
  • Proficient in Linux system, version control system (Git), virtualization and SW packaging tool (Docker).
  • Great communication skills.
  • Desired Skills:
    • Experience with ML framework: Tensorflow, Pytorch, Mxnet, ONNX.
    • Experience with managing data science and computer vision toolkit, such as JupyterHub, OpenCV is a plus.
    • Experience with working with databases and query language is a plus.
    • Familiar with MLOps concept and toolkit is a plus.
    • Basic understanding of machine learning techniques and algorithms.
    • BS/MS in Computer Science with focus on machine learning is a plus.
What we offer
  • 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.
About us

We are an AI Fintech company specialized in assessing credit profiles of consumers in emerging markets combining pioneering AI with large alternative data sources. In 2020 we reached our ambitious milestone of credit profiling 1 billion consumers spanning 4 countries - Vietnam, Indonesia, India & the Philippines - and building a platform for the wider industry and the financial services industry, in particular, to provide the "un & under" served access to credit. At the core of this initiative has been our strict and unwavering adherence to the norms of consumer data privacy and consumer data rights.

But we're not satisfied as we embark on the next leg of our journey to deliver 100 million credit lines to consumers in the markets where we operate. Although this goal is ambitious, we truly believe that by harnessing the power of AI & Big Data we can deliver financial access at an unprecedented scale.

As a firm, we're audacious problem-solvers motivated by our impact on society. We deeply espouse the values of ownership - of our actions and initiatives, integrity in all we do, and agility in execution.

We place great importance on doing what is right, what is best, and what is innovative. If you are smart, driven, and want to make a difference in the world with the most advanced and fascinating technology, come join our team. We can satisfy your desire to explore new territory and give you the runway to really make an impact.

Additional Info

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

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