As a Data Analytics Manager, you will lead a team of 8 analysts, fostering growth and collaboration. You'll build scalable analytics processes, translate business needs into projects, & partner with leaders to drive data-informed decisions. Manage workload, priorities, and resources to ensure timely delivery, contributing to Engine's innovative environment.
Join our growing data team in India as an Azure Data Engineer! This role is ideal for someone with a strong foundation in cloud-based data engineering, who thrives on solving complex data challenges and building scalable solutions using Azure technologies. If you're passionate about data, performance optimization, and automation, we’d love to hear from you.
Contribute to improving AI by working on annotation and translation tasks for one of the world’s leading AI-focused companies. You will perform annotation tasks, translate existing prompt sets and generate new prompt sets while supporting the training of safer and more accurate AI systems.
As a Lead AI Data Engineer on our Data Platform & Services team, you’ll combine advanced data engineering expertise with cutting-edge AI practices to deliver production-grade systems that transform how Upwork uses data. You’ll design and deploy agentic frameworks, natural language querying solutions, and LLM evaluation strategies that make insights accessible at scale.
Join a unique chance to kickstart your career in the AI field! This project is an excellent starting point for entry-level candidates. The company offers comprehensive learning support, which makes it a great opportunity to gain experience in data annotation and data rating within the AI field.
We are seeking a highly motivated Machine Learning Scientist with deep expertise in AI-driven image analysis to join our interdisciplinary team advancing precision therapeutics and diagnostics. You will lead the development and deployment of machine learning models that integrate histopathology imaging data (H&E-stained slides) with multi-modal biomarkers, driving clinical and scientific insights across large-scale cancer datasets.
Develop our scalable, cloud-based data platform for analytics and business intelligence, leveraging state-of-the-art data technologies. Shape an AWS-based data processing, ingesting data from our internal backend services as well as from third parties. Extend our lakehouse empowering various teams in decision-making, driving innovation, performance optimization, and strategic objectives. Prepare and clean structured and unstructured data and develop high-quality data models for advanced analytics, and AI use cases.
This is an excellent opportunity for an outstanding data analyst to join a Series C digital health company, working closely with various experts to support data-driven clinical program and pilot design. Responsibilities include building analytical solutions, identifying optimization opportunities, and tracking industry trends to enhance value for clients.
We are looking for an experienced Data Engineer who uses various methods to transform raw data into useful data systems. The selected person will create algorithms and perform statistical analysis to drive efficiency, aligning data systems with business objectives.
We are seeking a Data Scientist II with strong expertise in statistical modeling, machine learning, and real-world biomedical and electronic health records (EHR) data. The ideal candidate will apply advanced methods for empirical modeling and causal inference to support clinical research, health outcomes studies, and innovative trial designs.