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Lead Data Scientist
Lead a team building AI/ML systems that extract and structure data from documents, websites, and unstructured sources using Python, LLMs, and cloud-native pipelines.
Senior Manager
Overview: At Zebra, we are a community of innovators who come together to create new ways of working. United by curiosity and a culture of caring, we develop smart solutions that anticipate our customer’s and partner’s…
Software Engineer (Java + .Net)
Builds and maintains scalable Java/.NET backend systems, REST APIs, and cloud-native services while integrating AI/Generative AI tools to improve business processes and system reliability.
Assistant Manager(SA2) - Developer (Jr Developer PBI)
Roles & responsibilities Role Overview: The Senior Associate 2 - will be part of the GDC Technology Solutions (GTS) team, working in a technical role in the Audit Data & Analytics domain that requires…
Software Engineer
Build and maintain cloud-native microservices for Morningstar’s index products using Java, Spring Boot, AWS, Kafka, and Docker in a fast-paced Agile team.
Solution Architect, Solution Engineering (Java)
Designs cloud-native payment architectures (AWS) for digital banking, wallets, cards, and cross-border payments using Java and event-driven patterns.
Data Scientist
Build and deploy ML/computer-vision models in Python to analyze manufacturing data, clean and model signals, and collaborate with R&D to improve production quality and efficiency.
Senior AI Engineer
Senior AI Engineer designs and deploys production-ready AI/ML systems, including LLMs, NLP, or computer vision models, and integrates them into client products.
Senior Technical Consultant - Full Stack (.NET , React) , D&M
Build and integrate custom solutions for Autodesk’s Design & Manufacturing products using .NET, React, and Autodesk Platform Services, working closely with enterprise customers.
Senior Generative AI Strategist, Generative AI Innovation Center
Partner with customers to drive business outcomes using generative AI and ML, crafting industry-specific programs and roadmaps while aligning technologists and business leaders.
Senior Full Stack Engineer
Build and lead full-stack web apps for clients using React/TypeScript on the frontend and Java/Spring Boot, Node.js, Python, or Go on the backend, with cloud-native DevOps.
Distributed Systems Eng - Cloud Security
Build cloud-scale identity and access platforms for eBay’s global ecommerce ecosystem, designing distributed directory services, authorization engines, and AI-assisted development workflows.
Sr. Distributed Systems Eng-Security
Designs and builds cloud-scale identity and access platforms for eBay’s global ecommerce ecosystem, focusing on distributed systems, authorization engines (RBAC/ABAC), and AI-driven automation to secure millions of transactions and services.
Sr MTS Software Engineer, Data Platforms
Build and evolve eBay’s declarative data platform to eliminate duplication and optimize pipelines at scale, focusing on distributed systems for ingestion, streaming, and lakehouse/warehouse.
Lead Data Scientist
Lead a team building AI/ML systems that extract and structure data from documents, websites, and unstructured sources using Python, LLMs, and cloud-native pipelines.
Lead Database Developer - MongoDB (NoSQL)
Lead the design, implementation, and optimization of MongoDB and NoSQL databases to ensure high performance and availability on-prem and in the cloud.
Associate Data Analyst
Builds dashboards and analyzes large datasets to support business decisions using Python, SQL, and visualization tools like Tableau.
Senior Specialist - Data Engineering
Senior Data Engineer builds and maintains scalable data pipelines and warehouses using Spark, Kafka, Airflow, and BigQuery to transform raw data into reliable systems for analytics and ML.
Software Engineer
Build cloud-native backend services for a globally distributed messaging platform, focusing on secure, scalable microservices that power real-time customer communications and AI-powered experiences.
Data Engineer [Cloud]
Designs and maintains cloud-based data pipelines and warehouses using AWS, Databricks, and Informatica to support healthcare analytics and ML models.