Senior ML Ops Engineer for AI ML applications
vor 1 Monat
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.
Qualifications
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.
Additional Information
What we offer you:
- Up to 5 days of training per year;
- A monthly support to finance lunches;
- Financing of certifications on request;
- A competitive salary package;
- Free and unlimited access to our global E-learning platform -> 16,000 modules available;
- An annual license to access our training platform for Finance/Banking in order to improve your knowledge in different functional areas of your choice;
- A working environment - certified - GREAT PLACE TO WORK (95% satisfaction);
- A close-knit team, our support, proximity, regular feedback and top events.
If you believe you are the right candidate, please submit your application We look forward to receiving your application.
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