Drivers of change, it’s your time to pave new ways. Intellias, a leading software provider in the automotive industry, invites you to develop the future of driving. Join the team and create products used by 2 billion people in the world. What project we have for you We are searching for an ML Engineer that can support our Data Science team on an interim basis developing, implementing and maintaining AI/ML solutions. The work will have a clear focus on defining technical requirements and implementing those solutions at scale, as well as implementing data pipelines for feature engineering. A close collaboration with Data Scientists and Data Engineers ensures that the Business Requirements are understood, and the solution is connected to the data flow.
Team Information: We are a team of 4 Data Scientists working on solutions for the business. Among others, we developed algorithms for predicting the probability of default of our customers; churn; fraud; cross-and-upselling potential. We are working agile (2week sprints) and enjoy discussions over the topics at hand. Each Data Scientist is currently responsible for different projects and products. The ML Engineer will be required to support multiple projects/products and work with the entire team. What you will do * Support our Data Science team in developing on an interim basis. * Implementing and maintaining AI/ML solutions. * Defining technical requirements and implementing those solutions. * Implementing data pipelines for feature engineering. * Close collaboration with Data Scientists and Data Engineers. * Ensures that the Business Requirements are understood and the solution is connected to the data flow.
What you need for this Must Have * Knowledge in the design and implementation of the entire machine learning lifecycle for production-ready solutions, managing each phase from data preparation and feature engineering to model training, deployment, and retraining. * Development and maintenance of AI solutions within DevOps and MLOps principles using CI/CD pipelines. * Knowledge about Data Processing (for tools see nice to have), as well as Machine Learning. Profound knowledge on cloud technologies in Azure for deploying ML models at scale and proficiency in GIT for managing code and collaborating with teams. * Proficiency in Programming Languages such as SQL and Python. * Snowflake experience * Teamplayer with open-minded personality for a close collaboration with data scientists and data engineers to identify, define (e.g. contributing to solution architectures) and implement technical requirements for AI and ML solutions with business impact.
Nice-to-have * Knowledge on Data Processing in DBT and Snowflake * Knowledge of Machine Learning in AzureML. * Fundamental knowledge on network and infrastructure setup
What it’s like to work at Intellias At Intellias, where technology takes center stage, people always come before processes. By creating a comfortable atmosphere in our team, we empower individuals to unlock their true potential and achieve extraordinary results. That’s why we offer a range of benefits that support your well-being and charge your professional growth. We are committed to fostering equity, diversity, and inclusion as an equal opportunity employer. All applicants will be considered for employment without discrimination based on race, color, religion, age, gender, nationality, disability, sexual orientation, gender identity or expression, veteran status, or any other characteristic protected by applicable law. We welcome and celebrate the uniqueness of every individual. Join Intellias for a career where your perspectives and contributions are vital to our shared success.
