We are seeking a talented IT Help Desk Specialist to join our team The ideal candidate should possess strong customer service skills, be detail-oriented, and have solid troubleshooting experience with macOS and Windows Proficiency in mobile device management (MDM) workflows, device trust, and zero-trust security principles is required Proficiency in VPNs and networking, and the ability to manage high-level projects are also essential 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 YOULL DO In this role, you will provide comprehensive IT support to internal and external teams. You will take full ownership of IT processes from initiation to completion, continuously identifying opportunities for improvement. This includes assisting stakeholders with mobile device management and implementing robust security measures to safeguard company data and systems. You will also closely collaborate with the U.S.-based IT team to support global operations, shared objectives, and goals. You will configure and manage macOS and Windows environments, administer MDM platforms such as Jamf Pro, Microsoft Intune, and VMware Workspace ONE, and oversee user management across various SaaS applications. Strong communication and collaboration skills are essential, as is the ability to work effectively in a team environment. Proven experience in project management is required to lead complex initiatives and deliver high-quality outcomes. The role also demands strong troubleshooting skills and the ability to resolve technical issues quickly and efficiently. WHAT WERE LOOKING FOR Excellent verbal and written communication skills, with the ability to clearly articulate technical issues and solutions Required to be on-site at least 2 days a week and more as needed in our Bengaluru office. Strong customer service mindset and experience as the first point of contact for technical support via Slack, email, phone, and web conferencing. Demonstrated problem-solving skills with the ability to troubleshoot and resolve issues in a professional and timely manner, and follow up with users to ensure full resolution 3+ years of experience in IT support, sysadmin, and device management roles, with deep expertise in macOS and Windows ecosystems. Proficient in managing devices with MDM platforms such as Jamf Pro, Microsoft Intune, and VMware Workspace ONE, including deployment automation, patching, and enforcing security/compliance policies Skilled in SaaS and identity management tools such as Okta and Google Workspace; experienced with SSO, MFA, lifecycle scripting, and integrating systems like Slack, GitHub, Zoom, Jira, and endpoint security solutions. Familiarity with Jira project management and service desk platform Experienced with internal and external user onboarding and offboarding, including account creation/deletion, access provisioning/deprovisioning, and laptop provisioning/deprovisioning. Strong attention to detail in ensuring all work is completed on time and aligns with the company s security and compliance requirements Ability to train users on helpdesk processes, including IT and security policies and practices Strong teamwork skills and the ability to consider the big picture and consequences during the decision-making process Ability to follow written and verbal instructions and willingness to learn and develop technical and soft skills Strong appreciation for the importance of documentation in maintaining reliable and repeatable processes Self-starter who can work independently while consistently producing high-quality results Basic to intermediate scripting skills in Bash, PowerShell, or Python

About EarnIn As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. We re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey. POSITION SUMMARY As a Fintech company where Machine Learning (ML) is one of the key features, our operations highly rely on machine learning models, from business decisions to customer experiences. Therefore, ensuring our machine learning systems health and scalability is critical. To guarantee the success of machine learning systems, work needs to be done around transforming ML models to high-performance production-level code. This includes not only implementing sophisticated machine learning algorithms but also robustness monitoring, system logging/alarming, and DevOps. This position will be based in Bengaluru, which is part of our expanding site location. WHAT YOUll DO Design, build, and launch efficient and reliable machine learning (ML) models to drive business impact. Train and validate state-of-the-art multi-modal, multi-task deep learning models as well as statistical models considering use-case, complexity, performance, and robustness Demonstrate an end-to-end understanding of applications and develop a deep understanding of the why behind our models and systems. Work closely with data platform teams to enable robust, scalable batch and real-time data pipeline.s Drive the teams high ML and engineering standards through learning and knowledge sharing. Drive engineering best practices around code reviews, automated testing, and monitoring WHAT WERE LOOKING FOR Bachelors, MS degree, or PhD degree in Computer Science or a related technical field 0-1 year of experience in ML engineering Strong programming skills in Python and data engineering skills In-depth knowledge of machine learning algorithms Knowledge of or ability to quickly learn architectural patterns for large, high-scale software applications Strong oral and written communication skills Experience in NLP or CV is a plus #LI-Hybrid

About EarnIn As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. We re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey. POSITION SUMMARY As a Fintech company where Machine Learning (ML) is one of the key features, our operations highly rely on machine learning models, from business decisions to customer experiences. Therefore, ensuring our machine learning systems health and scalability is critical. To guarantee the success of machine learning systems, work needs to be done around transforming ML models to high-performance production-level code. This includes not only implementing sophisticated machine learning algorithms but also 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 YOULL DO Design, build, and launch efficient and reliable machine learning (ML) models to drive business impact Train and validate state-of-the-art multi-modal, multi-task deep learning models as well as statistical models 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 ML and engineering standards on the team through mentoring and knowledge sharing. Drive engineering best practices around code reviews, automated testing and monitoring WHAT WERE LOOKING FOR MS degree or PhD degree in Computer Science or a related technical field 4+ years of experience in ML engineering Strong programming skill in Python and data engineering skills Extensive knowledge of machine learning algorithms Hands-on experience on architectural patterns for large-scale software applications Industry experience building and productionizing machine learning systems Strong oral and written communication skills Experience in NLP or CV is a plus #LI-Hybrid

About EarnIn As one of the first pioneers of earned wage access, our passion at EarnIn is building products that deliver real-time financial flexibility for those with the unique needs of living paycheck to paycheck. Our community members access their earnings as they earn them, with options to spend, save, and grow their money without mandatory fees, interest rates, or credit checks. We re fortunate to have an incredibly experienced leadership team, combined with world-class funding partners like A16Z, Matrix Partners, DST, Ribbit Capital, and a very healthy core business with a tremendous runway. We re growing fast and are excited to continue bringing world-class talent onboard to help shape the next chapter of our growth journey. POSITION SUMMARY This is a high-impact role with significant excitement. You will work across the team, help drive data-driven decisions, establish new business metrics, and own the automated reporting systems. You will develop solutions to complex business problems characterized by imperfect data. You will gather, transform, and present data to enable data-driven decision-making. You will help scale the analytics we are offering to both internal and external stakeholders. 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 YOULL DO Streamline data flows from the source and produce high-quality data and pipelines (15%) Develop and maintain data pipelines, ETL processes, and data integration workflows to ensure efficient and accurate data acquisition from various internal & external sources using SQL, Python, or other scripting languages. Work with data infrastructure to triage infrastructure issues and drive them to resolution, and serve as the key point of contact to bridge the gap between data infrastructure and end customers. Design, build, and optimize data architecture & models to support business reporting and analytics needs. Understand evolving business requirements to optimize/update data pipelines in SQ.L. Monitor and optimize the performance of data systems, troubleshoot issues, and propose solutions for data-related problems. Design, develop, and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support our financial needs (45%) Build and deliver high-quality visualization and reporting solutions to support Finance business needs Design and create customized reports for all new financial reconciliation needs, catering to their specific needs Automate reporting for Finance using Python, Periscope, Tableau, Amplitude, and other Earnin in-house business intelligence tools and platforms. Interface with Finance, Engineering, and Analytics to understand data needs and deliver high quality data products (30%) Build clean data products to power automation focused on the finance domain and reconciliation. Get familiar with the finance domain at Earnin and identify opportunities for process automation. Take ownership of debt facility analytics and other core finance areas as needed. Develop data functional expertise and own data quality for assigned areas of responsibility. Create quality controls on the data feed to ensure high-quality data is delivered for the end product. Design, build, and launch new data extraction, transformation, and loading processes in production as needed. Implement data governance practices, including data security, privacy, and compliance measures. Deep analysis to uncover areas of opportunity and present recommendations that will help shape the strategy and operations of business stakeholders Create project-related documentation for requirements, design, processing methodologies, changes planned, and other relevant areas. Provide analytical support for financial needs, including annual audits, new product revenue reporting, and external lender inquiries. Be a data and functional expert at Earnin (10%) Stay up-to-date with industry trends and emerging technologies in the fields of business intelligence and data analytics. Be a data SME related to the finance domain. Identify and recommend BI and data tools that can be used within the company for increased productivity and scalability. WHAT WERE LOOKING FOR 4+ years of relevant work experience in Analytics, Business Intelligence, Data Science, anda a Bachelors or higher degree or equivalent industry experience Experience in custom ETL design, implementation, and maintenance. Experience with schema design and dimensional data modeling. Experience in writing complex SQL queries and Python Experience working with Snowflake / Databricks or similar distributed compute systems Experience with business intelligence tools such as Tableau, Power BI, or QlikView. years of working with relational databases (Redshift, PostgreSQL) and big data structures Experience with any cloud platform (Ex, AWS) and big data technology (Ex, Spark) Experience in collaborating with cross-functional teams Experience working with a finance team is preferred, but not required Ability to analyze data to identify deliverables, gaps, and inconsistencies. Excellent problem-solving and analytical skills #LI-Hybrid