Jobs at YipitData

Develop, train, fine-tune, evaluate, and deploy machine learning models using large datasets. Responsibilities include data preprocessing, feature engineering, deep learning, NLP and LLM research, predictive analytics, production API integration, experimentation, and model optimization. The role collaborates with software engineers, supports MLOps practices, and evaluates model accuracy, efficiency, latency, and performance.

Develop, optimize, and maintain highly scalable data pipelines, distributed backend systems, and reliable data services. Build high-performance architectures, integrate third-party data, support internal users, and enforce data governance, security, and compliance. Collaborate globally across India, the US, Singapore, and China while operating systems requiring high availability, low latency, observability, and self-recovery.

Design, develop, test, release, and maintain high-performance Android applications using Kotlin and Java. Own features and modules end to end, collaborate with product and backend teams on APIs, conduct code reviews, optimize performance and power usage, analyze crashes, and contribute to Android architecture and technology improvements.

Leads engineering for ERP data management, high-volume email processing, backend APIs, distributed systems, and service architecture. Owns reliability, scalability, security, observability, and iterative platform improvements for 24/7 systems. Acts as a liaison between engineering and business teams, mentors engineers, and collaborates across global teams in India, China, Singapore, and the United States. The role is fully remote from India and requires flexibility for global operations.

As a Senior Backend Engineer, you will implement ERP data connectors, upgrade backend APIs, maintain data storage, and ensure service stability. You'll collaborate with global teams to enhance data architecture and govern data integrity while utilizing technologies like Go or Python and cloud infrastructures.

The Senior Software Engineer will develop and maintain data systems and APIs, enhance data architecture, and ensure data governance while collaborating with global teams.

The Senior QA Engineer will develop test plans, handle automated and performance testing, manage defects, and collaborate with teams for project progress.

As a Data QA Associate, you'll manage data cleaning and quality assurance processes, transforming receipt data into business insights, collaborating with remote teams, and ensuring data consistency and quality.

Build and maintain end-to-end data pipelines using PySpark and SQL on Databricks/Delta. Establish data modeling and pipeline best practices, create AI-ready analytical datasets, troubleshoot pipeline issues, and collaborate with stakeholders to embed business logic and optimize reliability, efficiency, and performance.