Top Scala Jobs in Dallas, TX

The Principal Engineer - ML/AI will design, develop, and deliver advanced AI and machine learning solutions, translating technical innovations into strategic business outcomes. The role requires leadership in AI, innovative problem-solving, and a comprehensive understanding of emerging technologies to serve the Federal Government clients effectively.

As an Implementation Engineer, you will focus on customer success by deploying and configuring the Protenus platform, managing data extraction, and ensuring data quality. You will engage with customers to build tools for efficiency, analyze data, and address technical inquiries. This role involves project management and ongoing support post-implementation.

As a Senior Software Engineer II for ML Core, you will define architecture and implement changes for backend services. Responsibilities include optimizing search infrastructure, enabling rapid ML model productionalization, mentoring team members, and managing complex projects across teams.

As a Junior Full Stack Developer, you will design, develop, and support full-stack applications, ensuring alignment with customer requirements. You will collaborate with teams for system integration, manage databases, and administer Linux-based systems while contributing to AWS cloud-based application development and ensuring optimal performance.

The Senior Software Engineer II will define architecture and implement changes across backend services for scalable solutions. Responsibilities include optimizing search infrastructure, advocating system designs, overseeing complex projects, mentoring team members, and adapting to change while focusing on customer experience and project quality.

**As a senior software engineer on the platform team at Alpaca, you will have the opportunity to influence the overall architecture, design highly scalable systems, implement backend services, and maintain software quality.**

The Solutions Architect will engage with game industry clients, guiding them through the adoption of the Databricks Data Intelligence Platform. Responsibilities include defining technical strategies, building team support, conducting presentations, and mentoring team members, while focusing on data-driven transformation and customer-specific data use cases.