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About Role
We are looking for a Machine Learning Engineer with experience in Deep Learning to join MxAssist group. In this role, you will work in intersection of the two cutting edge areas: AI&ML and low code. MxAssist group is building cutting edge AI and ML capabilities that change the future of software development. The team is responsible for researching, innovating, and building AI and ML features to integrate with Mendix Platform to empower the developers to develop apps smartly (AI-Assisted Development) with features such as (low) code completion and develop smart apps (AI-as-a-Service.) with features such as ML deployment toolkit. Our recent AI and ML innovations have been frequently cited by Gartner and Forrester as evidence of the state of the art innovation in AI-Assisted Software Development.
As a Machine Learning Engineer, you will be a critical part of our growing company, working on a cross-functional team to implement best practices in technology, architecture, and process.
In this role, you will work on AI technologies to enhance low code application development. You will develop and execute based on both short and long-term roadmaps, making effective trade-offs between business impact and a high-quality technical foundation. You will own relationships with other engineering teams and collaborate with other functions within Mendix.
The personality we are searching for in this role:
- Enjoy solving challenges by understanding them and deconstructing them into elegant, understandable code
- Are able to break challenges down to iteratively build the solution with short feedback cycles
- Have a good understanding of core concepts of computer science and apply them regularly
- Are persistently curious and have strong analytical skills that help you ask great questions
- Are always learning and innovating in your work, staying up-to-date in your field
- Will dive deep into existing functionality to refactor and add new functionality
- Prefer to work in a team instead of working in isolation
- Like to learn from others and coach and mentor to help others be successful
- Take responsibility for the quality of your work by identifying risks and testing it
- Professional proficiency in Machine Learning: foundational concepts, metrics, model training, deployment and evaluation.
- Professional proficiency in Data Science: foundational concepts of data analysis, model creation, hypothesis checking, model performance analysis and scenarios analysis
- Experience with shallow models (Regression, Decision Trees, etc) and Deep Learning (Transformer models and sequence models such as LSTM, RNNs, etc).
- Languages: One of JVM languages (Java, Scala)
- Technologies/Services: Airflow, AWS Infra, Spark, TensorFlow, Pytorch, SciKit, Kubernetes, Terraform
- Knowledge and practical experience on Machine Learning Engineering Design Patterns, Transformer architecture.
- Experience with building software design tools or code analysis tools
- Strong knowledge and usage of computer science fundamentals, including data structures, algorithms, and object-oriented design, SOLID principles
This is a hybrid working position, which means you will have the opportunity to work in a hybrid environment, with the flexibility to work from home as well as from our office located in Rotterdam. We expect the successful candidate to be present in the office at least one day a week, as we believe that in-person collaboration is crucial for building a cohesive team and delivering high-quality work.
If you see a job description and think, “I’d be perfect for that” but your experience doesn’t align perfectly with the qualifications – don’t let that hold you back. We’re always eager to hire talented, passionate candidates – so give it a try and apply
#LI-Hybrid
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If you see a job description and think, “I’d be perfect for that” but your experience doesn’t align perfectly with the qualifications – don’t let that hold you back. We’re always eager to hire talented, passionate candidates – so give it a try and apply.
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