POSITION SUMMARY 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. Therefore, ensuring that we build and deploy state-of-the-art ML capabilities and uplevel our machine learning systems’ health and scalability is critical. To guarantee the success of machine learning systems, work around transforming ML models to high-performance production-level code needs to be done, including implementing sophisticated machine learning algorithms and robustness monitoring, system logging/alarming, and DevOps. This position will be hybrid from our Bengaluru office as part of our expanding site location. EarnIn provides excellent employee benefits, including healthcare, internet/cell phone reimbursement, a learning and development stipend, and opportunities to collaborate with and travel to our Palo Alto HQ and Bangkok Site. Our salary ranges are determined by role, level, and location. WHAT YOU'll DO Lead a team of Machine Learning Engineers and ML Analysts to drive core ML initiatives involving multimodal data streams Review designs and drive the launch of efficient and reliable models to drive business impact Find innovative and cost-effective solutions to key problems, deliver high-quality code Work with product managers/machine learning engineers/performance quality engineers to take the product to market Enable 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 Demonstrate end-to-end understanding of applications and develop a deep understanding of the “why” behind our models & systems Partner with product managers, tech leads, and stakeholders to analyze business problems, clarify requirements, and define the scope of the systems needed Work closely with data platform teams to enable robust, scalable batch and real-time data pipelines Drive high engineering standards on the team through mentoring and knowledge-sharing Drive engineering best practices around code reviews, automated testing and monitoring WHAT WE'RE LOOKING FOR 8+ years of experience in ML engineering and extensive knowledge of machine learning algorithms4+ years of experience working in years 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. 4+ 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, high-scale software applications Industry experience building and productionizing machine learning systems Strong oral and written communication skills #LI-Hybrid Show more Show less