Machine Learning Software Engineer

Company Description

Writing the future. Together. 

Avaloq is a value driven, fast-paced financial technology and services company and we are committed to developing the banking solutions of tomorrow. 

By joining Avaloq, you’ll become a key part of our effort to power the digital transformation of the financial services industry. Our ambition is big and bold – to provide full end-to-end digital solutions by combining our leading efficiency with a flexible, responsible digital user experience. Headquartered in Zurich, Avaloq has over 2,000 employees globally. More information is available at www.avaloq.com  

Job Description

Insight Embedded AI team is an international team which develops machine learning (ML) and data science-based applications for wealth management and banking. Our solutions are integrated into various Avaloq products and serve diverse types of users. 
Our mission is to empower financial institutions to deliver personalized services to their customers and make wealth advisors more efficient in serving client requests, identifying important news etc. 
We are seeking a talented ML engineer with a passion for innovative technologies and a background in both machine learning and software engineering.  
 
Your mission:

• Design and implement ML based solutions using state of the art models  

• Deploy and manage ML models in production using Kubernetes and DevOps best practices 

• Collaborate with cross-functional teams to drive projects from ideation to deployment 

• Produce high quality, maintainable and efficient code 

• Participate in system design decisions to improve performance and scalability of products 

• Stay up to date with emerging trends and advancements in ML and software engineering 

• Write documentation of implementation 

• Ensure code adheres to security standards

Qualifications

Your expertise: 

• University degree in computer science, engineering, or a related field 

• At least 5 years of relevant work experience 

• Solid understanding of software engineering principles and best practices 

• Effective communication and collaboration skills 

• Excellent analytical, coding, and debugging skills 

• Curiosity to learn and solve challenging problems 

• Natural Language Processing (NLP) 

• Strong background in statistics 

• Using and deploying ML models in AWS / Azure / GCP  

• Python and ML frameworks such as TensorFlow, PyTorch etc.  

• Streaming platforms and message queues (e.g. Kafka) 

• Microservices, REST APIs, Docker, Kubernetes, OpenShift 

• SQL, Oracle, Postgres 

• Elasticsearch, OpenSearch  

You will get extra points for the following: 

• Deep learning and predictive analytics 

• Backend development skills in Java   

• Familiarity with CICD Platforms (e.g. Jenkins, Travis) and Ansible

Additional Information

What you can expect:

It’s all about getting to know our teams and to e-meet with us. We will use video interviews to give you the opportunity to meet your future colleagues and get a first insight into Avaloq’s unique culture.

What we will offer you

We have a hybrid work week model, giving colleagues flexibility in how they work, as well as ensuring we create our unique Avaloq culture in our office locations. Our base salaries are competitive and you can be recognised for outstanding effort with an extraordinary achievement reward – the pinnacle of recognition. Avaloq aims to share its success with all its colleagues by paying out “Success Share Units” depending on its performance in a given year.

At Avaloq we embrace diversity, we embrace difference. We are whole-heartedly committed to equal employment opportunities and we foster an inclusive culture where everyone’s' contributions are valued and their voices are listened to. We hire, compensate and promote regardless of origin, age, sexual orientation, gender identity or any other fascinating characteristics that make us different. Please note that our job descriptions are intended to be written in an inclusive and gender neutral language.

Don’t be shy – apply!

Please only apply online, preferably with pdf documents.