Senior ML Ops Engineer for AI ML applications

Your mission:

To reinforce the Synechron Switzerland team, we are looking for a Senior ML Ops Engineer for AI ML applications. Our mission is for one of our clients, a major/global financial institution in Zurich.

Your responsibilities:

• • Join a newly formed centralised MLOps team to build (& support) tools and setup automation that improve the efficiency and productivity of data scientists;
  • Work closely and support data scientists and engineers in delivering solutions that bring cost savings to the client;
  • Some example projects are:
    • (i) Automating the packaging of models and deployment into an environment, with traceability on model version, experimentation and control checks;
    • (ii) Enable continuous model monitoring to track model performance metrics (accuracy), detect performance and data drift, and generate anomaly and impact alerts where there is data quality or model degradation;
    • (iii) Establish security protection (malicious code execution, prompt injection attacks, data leakage, access control, encryption in transit/rest, IAM, etc.) in the ecosystem;
    • (iv). Assist in decoupling the AI model from the hosting IT application.

Requirements

Your profile and skills:

• You justify a Master’s degree or equivalent in computer science, information systems, or another relevant field;
• You possess minimum 6 to 8+ years of practical experience in the field of machine learning and AI;
• You have a solid experience in the banking industry, with particular expertise in global financial institutions;
• You are a polyglot developer, able to code (or learn quickly) multiple languages, such as Python, Java, Javascript, Html, Golang, etc;
• You like to quickly pickup multiple technologies and use them in the correct manner;
• You have strong knowledge on know CI/CD pipelines and Agile frameworks, preferably with the MLOps context;
• You possess good familiarity with technologies such as: SciKit-Learn, TensorFlow, Torch, ChatGPT, Llama, LangChain (or equivalent), RAG, Model Security, Jupyter Notebook / JupyterLab, Unit Testing, Integration Testing, E2E Testing, ETL/ELT, Python Virtual Environment, Containerization with Docker/Podman, GitLab, Azure DevOps, Kubernetes, Azure Load Balancer, Communication Standards, Communication Security, Non-functional KPIs (performance, scalability…), Splunk, Graphana, Kubernetes Container Monitoring;
• You produce secure and clean code that is stable, scalable, operational, and well-performing;
• You understand the security principles in the banking systems, and be up to date with the latest standards (security, best practices) in IT;
• You have good knowledge in SQL, NoSQL, Vector DB, Graph DB (is a plus);
• You are a team player with good communication and interpersonal skills;
• You are customer-oriented, committed, with a hands-on mentality;
• You speak English (German would be a plus);
• You possess a valid Swiss work permit, or you are EU national and willing to relocate to Zurich.