Senior MLOps & AI Developer

G+D makes the lives of billions of people around the world more secure. We create trust in the digital age with integrated security technologies in three business areas : Digital Security, Financial Platforms and Currency Technology. We have been a reliable partner for our customers for over 170 years with our innovative solutions for SecurityTech! We are an international technology group and traditional family business with over 14,000 employees in 40 countries. Creating Confidence is our path to success. Trust is the basis of our co-operation within G+D.

The whole world trusts us when it comes to physical or digital currencies. We increase the security and efficiency of the cash cycle in collaboration with central banks and the entire currency industry. As the market leader in advanced currency management, would you like to join us in shaping the future of payments

Job Title : Senior MLOps & AI Developer Job Description We are seeking a highly accomplished Senior MLOps & AI Developer who combines a strong development background with deep experience in designing and managing AI / ML infrastructure. In this role, you will develop, deploy, and maintain scalable AI solutions focused on high accuracy. Your expertise will not only drive robust MLOps pipelines and hybrid cloud solutions but also extend to full-stack development, ensuring an end-to-end AI application experience. This includes handling database solutions, optimizing data workflows, and developing intuitive front-end applications using Angular and related technologies. Key Responsibilities

• AI / ML Infrastructure Development : Plan, build, and continuously enhance infrastructure for model training, deployment, and live monitoring, ensuring scalability, high availability, and robust security.
• Design End-to-End MLOps Pipelines : Develop and optimize CI / CD pipelines that automate the process of building, testing, and deploying AI models, emphasizing cost-efficiency, performance, and seamless integration.
• Scalable AI Solutions with High Accuracy : Engineer and implement AI solutions that focus on driving higher model accuracy through advanced techniques such as chunking and embedding. Work with multiple large language models (LLMs) to create optimal solutions.
• Database Management & Indexing : Set up and manage various data storage systems including indexers, PostgreSQL, MySQL, and other non-SQL databases to support dynamic and scalable AI workflows.
• Hybrid Cloud & On-Premise Integration : Manage and optimize resources across major cloud platforms (with Azure as the primary focus) along with on-premise systems, addressing the unique challenges of hybrid environments.
• Full-Stack Development for AI Applications : Develop responsive, user-friendly front-end applications using Angular and related technologies, ensuring a seamless end-to-end AI application experience that complements the back-end infrastructure.
• Collaboration Across Teams : Work closely with AI / ML developers, data scientists, and DevOps teams, driving innovation and troubleshooting challenges to streamline development, deployment, and performance optimization.
• Security & Performance Optimization : Implement best practices in networking, security protocols, and performance tuning to maintain a secure and efficient operational environment.

Required Skills & Qualifications

Preferred Qualifications

Skills Required

Docker, Angular, Mysql, Kubernetes, Python, Azure, Html, Terraform, Css, Postgresql, Typescript