Jobs at ShyftLabs

The Senior AI Engineer will design and integrate AI features into backend systems, optimize models, and collaborate with teams for deployment and architecture best practices.

Responsible for bridging enterprise data with AI capabilities, translating business challenges into operational solutions, and driving complex sales deals by connecting technical solutions to business value.

The Associate AI Engineer will assist in building AI-powered backend services, integrating APIs, and developing data pipelines while collaborating with experienced engineers and teams.

The Senior ML Engineer will own the ML lifecycle, develop production-grade systems, implement MLOps practices, and mentor junior engineers while collaborating with various stakeholders.

The Senior Manager, Business Operations will lead contract management, support financial operations, ensure compliance, and optimize internal processes while enhancing client relations and business strategy execution.

Develop and manage Workday integrations for HCM, Payroll, Benefits, and Recruiting modules, translating business requirements into technical solutions, conducting testing, and providing support.

Lead a team of engineers to develop AI applications, drive architectural decisions, mentor staff, and implement agile practices for innovative AI products.

The Technical Architect develops scalable platforms and systems, collaborates with product teams, and leads architecture across data solutions and integrations, ensuring best practices and mentoring developers.

Design, build, and scale data-driven platforms and systems, focusing on backend and frontend engineering, integrations, and AI capabilities.

Develop and maintain ETL pipelines, manage data streaming solutions, optimize performance, and translate business requirements into scalable data systems.

The Operations Manager will oversee administrative operations, support talent acquisition, manage vendor relationships, and ensure efficient office functioning while aligning with company goals.

The Databricks Engineer will design and optimize big data solutions using Databricks, develop ETL workflows, and collaborate with teams to ensure data integrity and performance.

The Data Architect will lead the design of a Customer Data Mart, ensuring scalable solutions, implementing data architectures, and mentoring teams. Responsibilities include defining data modeling standards and contributing to data governance initiatives.

The Tech Lead/Solution Architect will design and deliver cloud solutions, lead architecture reviews, coordinate teams, and engage with clients to execute data and application projects.

The Product Manager will lead AI-driven automation initiatives, defining and delivering intelligent systems to enhance decision-making and reduce manual efforts, while ensuring compliance and governance in AI implementation.

The Receptionist will manage the front desk, greet visitors, provide information, sort mail, and maintain office security.

The Account Manager will oversee client relationships, ensuring account success, managing multiple workstreams, and identifying opportunities for growth and improvement.

Seeking a Data Engineer to design and maintain ETL pipelines, data models, and infrastructure for analytics, working with enterprise clients.

The Software Engineer will design, develop, and maintain backend services, optimize APIs, collaborate with teams, and resolve technical issues.

The Account Manager will manage client relationships, coordinate internal teams, monitor account health, and drive account growth strategies for strategic clients.