Design, build, and deploy production-ready AI/ML solutions, owning model development, data analysis, scalable pipelines, and MLOps for client projects.
Plain Concepts jobs
AI, software engineering, data analytics, cybersecurity, and cloud solutions for businesses.
12 open roles at Plain Concepts
Lead and grow a multidisciplinary product, design, and strategy team while shaping its consulting offering, winning client engagements, and ensuring high-quality delivery with measurable business outcomes.
Design and build cloud-based data solutions, developing scalable pipelines and Spark ETLs while promoting clean, reusable code and best practices across collaborative client projects.
Develop AI-powered 3D graphics solutions across desktop, web, VR, and AR, integrating computer vision and spatial computing models while optimizing custom algorithms for realistic, interactive applications.
Shape product strategy and lead complex technology and AI initiatives for insurance and financial services clients, from discovery and business case development through delivery, rollout, and scale.
Shape product strategy and design AI-native digital experiences end to end, from research and product vision through UX prototyping and cross-functional delivery, while helping clients validate ideas and bring products into production.
Develop AI security governance strategies and operating models, translating technical risks into business guidance while coordinating stakeholders, programs, and adoption across the AI lifecycle.
Lead advanced security investigations while building detection engineering, automation, and AI-assisted response capabilities to improve security operations and guide L1 and L2 analysts.
Lead and grow a multidisciplinary product consulting vertical by shaping its offerings, winning strategic client work, developing teams, and overseeing high-quality delivery with measurable business outcomes.
Design, build, train, and deploy production-grade AI/ML solutions, developing scalable pipelines and monitoring models and infrastructure across the end-to-end machine learning lifecycle.
Lead client AI transformation and digital strategy engagements, advising executives on growth, venture creation, and technology adoption while developing consulting capabilities, reusable frameworks, and market positioning.
Design, develop, and deploy production AI/ML solutions, owning the end-to-end lifecycle from data analysis and model training to scalable pipelines, MLOps automation, and production monitoring.
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