Jobs at Plain Concepts

Serve as the Product Owner for agile teams: gather and analyze requirements, write and prioritize user stories, manage the backlog, participate in Agile ceremonies, support estimations, liaise with stakeholders, and ensure solutions deliver business value while collaborating with technical teams.

The Senior AI & Computer Vision Software Engineer will work on innovative software solutions, bridge research and production, and mentor others while working in an Agile environment.

We seek a Senior Golang Engineer to develop and optimize backend services using Golang and Kafka, design APIs, and leverage AI tools to enhance productivity and code quality. Responsibilities include ensuring resilient microservices design, cloud deployment, and collaboration across teams in a modern engineering environment.

As a Principal Cloud Engineer, you'll design and lead cloud architectures, manage AI-powered platforms, and build CI/CD pipelines, all while collaborating in Agile teams.

The Digital Strategist will lead digital transformation projects, conduct analysis, support AI initiatives, and collaborate with teams to deliver impactful solutions.

As a Senior AI/ML Engineer, you'll design and develop AI solutions, build production-level ML models, and implement MLOps practices. You'll work with a multidisciplinary team on cutting-edge projects, focusing on AI-powered software and deep learning techniques.

Plain Concepts is looking for talented individuals passionate about technology and continuous learning. Positions may arise in the future, and the company encourages potential candidates to submit their profiles.

You will design and develop data solutions, create ETLs using Spark, work on cloud projects, and build scalable data pipelines.

Seeking a Senior Digital Strategist to lead AI and data-driven projects, develop innovative solutions, and execute product management strategies while collaborating with clients.

The Senior Data Engineer develops data solutions, builds scalable data pipelines, and fosters best practices while collaborating within a multidisciplinary team.

The role involves designing and implementing low-code AI solutions, developing workflows, and improving automation for business processes across various domains.

Design, build, and maintain the analytical layer: data models, ETL/ELT pipelines, trusted datasets, and business-facing dashboards. Define KPIs with stakeholders, improve data quality and performance, support governance and documentation, and troubleshoot data issues to enable decision-making.