The AI/ML Solutions Architect will design and implement scalable AI/ML architectures, manage relationships with customers, and create technical content while advocating for best practices in AI/ML solutions.

As an AWS Cloud Architect, you'll lead customer projects focusing on migration, DevOps, and solution design, while mentoring team members and resolving technical issues.

The Account Manager will engage with AWS clients to drive business growth, manage relationships, and develop tailored cloud solutions.

The AI Architect will lead AI-driven initiatives and design AI solutions using Microsoft technologies, collaborating with stakeholders to identify opportunities and ensure effective implementation.

As a Talent Acquisition Specialist, you will lead recruitment for technical and non-technical roles, source talent, conduct interviews, and ensure a positive candidate experience aligned with company values.

Manage customer communication and project lifecycle for AWS professional services, ensuring budget and timeline adherence while driving team delivery and stakeholder satisfaction.

As a Front-End Developer at Avahi, you'll develop and maintain applications using React and Angular, integrate data visualizations, and work on real-time communication platforms while collaborating with AI-driven features.

The Backend Engineer will design and maintain scalable backend systems, develop Python libraries, build APIs, and integrate AI models. Responsibilities include system automation, performance monitoring, and contributing to open-source projects.

The AWS Solutions Architect at Avahi will lead cloud solution design, migration, and DevOps initiatives, mentor teams, and ensure successful implementation of AWS services and strategies.

The AWS Solutions Architect will design, implement, and manage AWS solutions, guide customers through migration, and innovate through DevOps initiatives while mentoring team members.

The Data Scientist collaborates on Applied AI projects, develops tools for Generative AI, and works on deep neural networks and simulations.

The AWS DevOps Engineer will design and manage AWS infrastructure, drive migration projects, implement DevOps practices, and mentor junior team members.

The ML Engineer will productionize machine learning models, enforce engineering standards, collaborate with Data Scientists and Engineers, and mentor junior staff.

As an AWS DevOps Engineer, you will design, implement, and manage AWS infrastructure, support migration projects, and apply DevOps practices with tools like Kubernetes and CI/CD to optimize project delivery.

As an AI/ML Solutions Architect, you will design scalable AI/ML architectures, engage with customers, and create thought leadership content to drive AI/ML adoption.