The AI Engineer will develop, deploy, and optimize machine learning models for environmental and industrial applications, focusing on real-time object detection and classification.

Develop and manage AI-enabled full-stack applications, integrating AI models and APIs, while collaborating with teams and researching new technologies.

Design, develop, and deploy Generative AI applications on GCP using Vertex AI. Build LLM-powered solutions (chatbots, summarization, document intelligence), implement RAG with vector databases and embeddings, manage token usage and prompt engineering, develop backend services/APIs, fine-tune models, and monitor and scale AI workloads while ensuring performance, reliability, and security.

The Jr. AI Engineer will design and develop AI solutions, implement LLM use cases, and deploy scalable AI services on AWS and Azure, collaborating with teams to meet business needs.

Seeking a Data Engineer skilled in Databricks to design and maintain scalable data pipelines on Azure, optimizing ETL workflows and ensuring data quality.

The Senior Software Engineer will design and build scalable backend services using Java and Spring Boot, collaborating with teams and improving code quality while mentoring junior developers.

Seeking a Data Engineer to design and maintain scalable data pipelines using Databricks and Azure, focusing on ETL/ELT workflows, data quality, and collaboration with teams.

As an AI Engineer, you will develop, deploy, and optimize machine learning models for real-time applications, collaborating with teams and ensuring model performance in dynamic environments.

As a Senior Front-End Engineer, you will lead technical vision, develop web and mobile applications, mentor team members, and optimize processes while implementing modern technologies to enhance user experience.

Administer and optimize CargoWise One globally: configure users, security, workflows, and document packs; manage integrations (API/EDI/XML), master data, UAT/SIT testing, performance audits, training, and cross-functional support to ensure compliance and automation.

Manage and secure the organization's Azure cloud and networking infrastructure, design and operate AVD environments, administer Windows Server and Azure AD, enforce endpoint and patch management with Intune, and optimize cloud performance, security, and costs while collaborating on DevOps and documentation.

As a Senior Full Stack Developer, you'll work on web applications, develop REST APIs, perform testing, and collaborate within Agile teams.

The role involves leading the development of front-end architecture, collaborating with designers and managers, and taking ownership of projects. Responsibilities include developing features, bug fixes, and maintaining code quality.

As a Senior SDET Engineer, you will lead test planning and execution, participate in Scrum ceremonies, and drive adoption of QA best practices. You will design test strategies, execute tests, troubleshoot issues, and collaborate within a Scrum team to ensure high-quality product delivery.

The Senior SDET Architect will lead the test automation strategy, guide QA practices, and integrate AI capabilities within QA processes.

The Talent Acquisition Specialist will manage full-cycle recruitment, coordinate interviews, enhance employer branding, and maintain recruitment records.

Lead product engineering teams and drive software ecosystem architecture. Supervise scrum teams, ensure coding standards, and foster a collaborative environment.

The Senior Databricks Engineer will develop and optimize data solutions, focusing on ETL/ELT pipelines using Databricks, while collaborating with teams to ensure data quality and security.

Design, develop and maintain microservices and RESTful APIs using Java and Spring Boot. Collaborate with teams and ensure high-quality engineering solutions.

As a Senior Java Developer, you'll design and build scalable backend systems using Java and Spring Boot, collaborating with cross-functional teams to deliver high-performance solutions.