(Senior) Data Scientist Run and Maintain AI Products Program in Python and use cloud technologies based on Azure, Google and OpenShift to deploy and model various ML models. Maintain custom AI products such as in house developed GPT solution. Develop and maintain various AI APIs and backend functionality that supports custom AI products Develop and maintain front end applications using technologies like React or Vue.js that will serve as the interaction layer on top of our custom AI products Optimize Performance & Scalability Proactively respond to service requests and incidents to ensure continuous uptime of our products and services in operations Profile, tune, and optimize models and backend components to meet SLA requirements. Evaluate and recommend new technologies or architectural patterns to improve existing products and services. Automate infrastructure provisioning (IaC) and CI/CD processes for custom AI workloads. What You Bring Must Have Bachelor's in computer science, Software Engineering, Information Systems, or a related field. 3 to 5 years of hands-on experience in data science and field with a focus on using cloud-based services Proficient in Python and ability to pick up other languages based on relevance. Experience with tools databases such as Postgres and MongoDB Experience with web development frameworks like React Experience with building custom RAG pipelines from scratch using Langchain and other relevant libraries. Extensive experience in Git (GitHub and GitOps) Experience with developing AI based APIs and making it available as a service via AI markerplace Excellent problem-solving skills, detail-oriented, and able to troubleshoot complex data issues under tight SLAs. Strong communication skills: able to liaise between technical teams, non-technical stakeholders, and senior management. Proactive mindset with a continuous improvement attitude; able to break down ambiguous requirements into actionable tasks. Big Advantage Master's degree in computer science, Software Engineering, Information Systems, or a related field. Familiarity with containerization and tools like Docker, Kubernetes, etc. Azure and Azure services related to data science Knowledge of GCP, OpenShift, SAP