Senior Machine Learning Engineer
Are you ready to apply Data, ML & GenAI technology to create meaningful impact with digital products at scale, solve the needs of its users and tackle real-world problems in the world of digital & business? Are you up for the challenge to scale AI applications to hundred thousands of users, balancing best engineering practices and continuous user feedback? Then the role of a Senior Machine Learning Engineer will definitely trigger your interest!
In The Pocket's mission is to create digital products that make people happy and businesses grow. We believe both aspects are crucial for successful digital products, and they will often drive one another. Generative AI, Machine Learning & Data technologies allow us to improve both: by improving the experience of existing products, by enabling new business models based on newly uncovered insights and by enabling a whole range of new digital products with new value streams. Let's leverage ML & data to build even better digital products.
What you’ll do
- You'll closely collaborate with ML Engineers, Product Managers, Architects, and Software Engineers to define, implement and improve use cases that are enabled through machine learning. You are responsible for the life-cycle of the AI solution. This includes designing, developing testing, improving deploying and scaling the model that is used. There will be a focus on MLOps and the ability to scale modern NLP applications both in amount of users and data. But you don't do this in a vacuum. Rather, you're part of a multidisciplinary team where every member is equally responsible for the product's success.
- You keep up with the latest Data, Machine Learning & Generative AI advances, with a particular focus on what might be applicable in our context. In particular, your enthusiasm for "what is possible" motivates you and we expect you to transfer that enthusiasm to your team members and even our clients.
- You actively participate in knowledge sharing both towards peers (lessons learned, new advances, process improvements,..) as well as other people in our organisation (e.g. sales, marketing, product, strategy...). And it doesn't have to stop there: we happily support any initiatives to share our findings with the world, through blogs, talks, podcasts or guest lectures.
- You clearly communicate and set expectations. What realistic results can be expected? What are the greatest risks/unknowns? Always be open and honest, and don't be afraid to ask for help.
Who you are:
- You hold a bachelor/master/PhD degree in Computer Science (or related), and a master in Data Science / AI / Statistics or Machine Learning - or you have a proven track record in a similar role.
- You have a profound knowledge of Python and at least one of the most important machine learning frameworks (Scikit-learn, Tensorflow, Keras, Pytorch,...) and are able to work AI platforms like Huggingface, replicate and/or AI cloud services like Vertex AI Studio, AWS Sagemaker or Azure AI Studio .
- You have relevant experience in going beyond running local ML experiments, but bringing ML to production, including MLOps, Data versioning, & LLM Orchestration frameworks
- You have a broad awareness of the possibilities and limitations of ML, and see how Data and ML can help us build even better products for our clients.
- You have an affinity with product design and engineering top-notch digital products.
- You highly value the principles of clean code, continuous improvement and rapid prototyping. Experience with continuous delivery and/or devops practices is a plus.
- Any experience with the broader services from Google Cloud Platform, AWS or Azure is a plus.
- You excel in sharing your knowledge with others, you enjoy coaching team members and helping them to gain more insights in your field of expertise.
Additional information:
Working at In The Pocket means accepting a high level of autonomy. We rely on trust and openness, and sharing our learning curve. At In The Pocket, there’s time to experiment and budget to develop yourself.
On a personal level, we’re looking for someone who shares our values:
- Ownership: Working at In The Pocket means accepting a high level of autonomy. You take ownership and show the ability to decide and act for the good of the company.
- Integrity: Stick to your values, even when it doesn’t pay off in the short term. In The Pocket relies on trust and openness, which in turn relies on your integrity.
- Lead & Educate: Digital technologies are changing the world. We go all in, head-first. We take the lead in designing and building with emerging technologies. We share our passion and knowledge with as many people as possible.
- Agility: In The Pocket is permanently under construction. We never settle, it’s never done. Observing, adapting and improving is in our nature. That resonates with the people who work here. We are always looking for a better solution, always ready for the next step, pragmatic and committed to moving forward.
- Team: As individuals, we are bright and talented, as a team we are unbeatable. We are open and positive, constructive and honest. We help and inspire our colleagues to do their best work.
