
51 - 200 employees
🤝 B2B
🤖 Artificial Intelligence
☁️ SaaS
B2B • Artificial Intelligence • SaaS
TMS is a leading digital product engineering company specializing in designing and building innovative solutions for modern digital experiences. As a trusted partner, TMS supports clients throughout the entire product development lifecycle from conception to commercialization, providing technical and non-technical expertise to accelerate the process. By offering services such as software applications, IoT integration, AI and ML advancement, BI & data intelligence, and more, TMS tailors strategic engagement models to shorten development cycles, ensuring faster time-to-market and greater success for its clients.
🔥 0 minutes ago
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51 - 200 employees
🤝 B2B
🤖 Artificial Intelligence
☁️ SaaS
B2B • Artificial Intelligence • SaaS
TMS is a leading digital product engineering company specializing in designing and building innovative solutions for modern digital experiences. As a trusted partner, TMS supports clients throughout the entire product development lifecycle from conception to commercialization, providing technical and non-technical expertise to accelerate the process. By offering services such as software applications, IoT integration, AI and ML advancement, BI & data intelligence, and more, TMS tailors strategic engagement models to shorten development cycles, ensuring faster time-to-market and greater success for its clients.
• Design, develop, and deploy AI-powered applications using LLMs such as Claude, GPT, and other foundation models. • Utilize GitHub Copilot / Claude Code to accelerate software development, testing, debugging, and documentation. • Build AI agents, copilots, and workflow automation solutions. • Design and develop AI/ML-based solutions using modern frameworks and tools • Build and maintain backend services using .NET (C#, ASP.NET Core) • Deploy, manage, and optimize applications on Microsoft Azure • Integrate AI models into production systems and APIs • Work with structured data stored in Oracle DB, including performance tuning and query optimization • Collaborate with data scientists, product managers, and cross-functional teams • Implement data pipelines and workflows for AI model training and inference • Ensure scalability, reliability, and security of AI applications • Monitor model performance and continuously improve solutions
• Hands-on experience with Claude API, OpenAI API, or equivalent AI platforms. • Hands-on experience with Microsoft Azure services (Azure ML, App Services, Functions, Storage, etc.) • Strong experience in .NET / C# / ASP.NET Core • Solid experience with Oracle Database (PL/SQL, query optimization, schema design) • Knowledge of AI/ML concepts and frameworks (e.g., Python, TensorFlow, PyTorch, or ML.NET) • Experience in building and consuming REST APIs • Familiarity with microservices architecture • Understanding of DevOps practices and CI/CD pipelines • Good problem-solving and analytical skills.
• All your information will be kept confidential according to EEO guidelines.
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