Search the 15 jobs at Plain Concepts

The Lead Consultant will shape the consulting methodology and lead high-impact projects while mentoring team members. Responsibilities include business unit leadership, project management, and developing methodologies for AI and automation in client services.

The Engineering Manager will lead projects in data engineering and AI while coordinating teams to deliver client solutions. Responsibilities include understanding project objectives, managing timelines, ensuring quality deliverables, and providing technical guidance to clients. The role also demands effective communication and stakeholder management, alongside a solid technical background in data technologies and agile methodologies.

As a Data Engineer, you will design and develop data solutions, create ETLs using Spark, and build scalable data pipelines on cloud platforms like Azure and AWS. Your role emphasizes collaboration, best practices, and transforming complex data challenges into effective solutions while working either remotely or in-office.

As an Engineering Manager, you will lead a team to manage and deliver software solutions, collaborating with clients to understand their needs. You will be responsible for project management, ensuring timely delivery, quality control, and providing technical guidance while adhering to Agile principles.

The Full Stack Developer will design and develop software solutions for challenging projects, utilizing technologies like Python and Azure, while maintaining best practices and engaging in agile team methodologies. Responsibilities include collaborating on project architecture and design, writing reusable code, and leveraging various frontend frameworks.

As a Cloud Engineer, you will design and implement infrastructure on Azure, create CI/CD pipelines, and develop infrastructure as code. Collaborating with a talented team, you will tackle unique cloud infrastructure challenges and work on innovative projects, all while adhering to AGILE principles.

The Cloud Engineer will design and implement cloud infrastructure on Azure, focusing on IaaS and PaaS services. Responsibilities include creating CI/CD pipelines, developing infrastructure as code using Terraform, and optimizing web platforms integrating AI features. The engineer will collaborate with multidisciplinary teams to deliver innovative solutions.

The Fullstack .NET Developer will design and develop software solutions, participate in project architecture and decision-making, work in an Agile environment, and promote best practices in software development. The role requires experience in .NET, Azure, frontend frameworks, and CI/CD processes.

The Cloud Engineer will design and implement infrastructures on Google Cloud Platform (GCP), manage services, optimize governance and security, and collaborate in agile multidisciplinary teams. Key responsibilities include implementing IaaS and PaaS solutions, CI/CD flows, and infrastructure as code.

As a Senior Data Scientist/MLOps, you will develop and deploy machine learning models, participate in AI solution design, and enhance software engineering practices within a multidisciplinary team. Responsibilities include data analysis, model training, and MLOps for deployment and monitoring of models.

As a Senior Full Stack .NET Developer, you will work on projects from scratch, design software architecture, and be involved in development practices within multidisciplinary teams using AGILE methodologies. You will also ensure the implementation of best practices and remain updated with the latest technologies.

The Senior Data Scientist will work within an international AI/ML team to develop tailored solutions, train and deploy ML models, and integrate them into production. Responsibilities include data analysis, building production-ready ML solutions, and ensuring software engineering best practices are followed.

Plain Concepts is proactively seeking talented individuals who are interested in potential employment opportunities. They encourage applicants to submit their information even if there are no current openings that match their skills, indicating their commitment to finding high-potential recruits.

Manage full life-cycle recruitment, design global recruitment process, collaborate with team, handle recruitment needs, work closely with management.

The Sales Specialist will provide pre-sales support, engage with clients to understand their requirements, recommend technological solutions, and manage project kickoffs. The role requires strong communication, technical expertise in AI, and familiarity with cloud platforms and various related technologies.