Description
As a Fintech company where Machine Learning (ML) is one of the key drivers of impact, our operations highly rely on machine learning models, from business decisions to customer experiences. To ensure the success of machine learning systems, work must be done to transform ML models into high-performance, production-level code, including implementing sophisticated machine learning algorithms, robustness monitoring, system logging and alarming, and implementing DevOps practices.
This position will lead a team of Machine Learning Engineers and ML Analysts to drive core ML initiatives involving multimodal data streams. The successful candidate will review designs and drive the launch of efficient and reliable models to drive business impact. They will also find innovative and cost-effective solutions to key problems, and deliver high-quality code.
Key responsibilities include:
- Leading a team of Machine Learning Engineers and ML Analysts to drive core ML initiatives involving multimodal data streams
- Reviewing designs and driving the launch of efficient and reliable models to drive business impact
- Finding innovative and cost-effective solutions to key problems, and delivering high-quality code
- Working with product managers/machine learning engineers/performance quality engineers to take the product to market
- Enabling the team to train and deploy state-of-the-art multi-task deep learning and/or statistical model pipelines, considering use-case, complexity, performance, and robustness
- Demonstrating end-to-end understanding of applications and developing a deep understanding of the “why” behind our models & systems
- Partnering with product managers, tech leads, and stakeholders to analyze business problems, clarify requirements, and define the scope of the systems needed
- Working closely with data platform teams to enable robust, scalable batch and real-time data pipelines
- Driving high engineering standards on the team through mentoring and knowledge-sharing
- Driving engineering best practices around code reviews, automated testing, and monitoring
Requirements include:
- 2+ years of experience working in managing and leading a team of ML Engineers, driving product initiatives and impact
- Bachelor's or Master’s degree in Computer Science, Engineering, or a related field
- 5+ years of experience in ML engineering and extensive knowledge of machine learning algorithms
- 2+ years of experience collaborating closely with product, analytics, engineering, and/or other partners to drive impact and be the POC from ML to initiate impactful ideas from scratch
- Hands-on experience with the architectural patterns for large-scale software applications
- Industry experience building and productionizing machine learning systems
- Strong oral and written communication skills
Benefits include:
- Excellent employee benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to collaborate with and travel to our Mountain View HQ and Bangkok Site
- Salary ranges are determined by role, level, and location
Note: This is a hybrid position from our Bengaluru office as part of our expanding site location.