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The Machine Learning Engineer role at In The Pocket involves applying Data, ML & GenAI technology to create meaningful impact with digital products. The company's mission is to create digital products that make people happy and businesses grow. The Machine Learning Engineer will closely collaborate with Senior ML Engineers, Product Managers, Architects, and Software Engineers.
Role Involves:
- Designing, developing, testing, improving, deploying, and scaling AI solutions.
- Collaborating with cross-functional teams.
- Keeping up with the latest Data, Machine Learning & Generative AI advances.
- Participating in knowledge-sharing.
- Communicating and setting expectations.
Requirements:
- A bachelor/master/PhD degree in Computer Science (or related), and a master in Data Science / AI / Statistics or Machine Learning - or a proven track record in a similar role.
- Knowledge of Python and at least one of the most important machine learning frameworks.
- Ability to work AI platforms and/or AI cloud services.
- Experience in MLOps, Data versioning, & LLM Orchestration frameworks.
- Broad awareness of the possibilities and limitations of ML.
- Affinity with product design and engineering top-notch digital products.
The role offers:
- A high level of autonomy.
- Time to experiment and budget to develop yourself.
In The Pocket
In The Pocket is a digital product studio that partners with clients to provide strategic advice in digital business strategy, AI & data strategy, and CX strategy. The company focuses on guiding clients through complex digital challenges, unlocking new business value within the digital ecosystem. With a strong presence in the Belgian and European markets, In The Pocket delivers high-quality consulting engagements, fostering innovation and collaboration, and enabling clients to navigate the ever-evolving digital environment.