Machine Learning Engineer focusing on MLOps and software engineering at flaschenpost, ensuring robust planning and operational success through ML products.
About the role
- Machine Learning Engineer at Winnow developing AI solutions for food waste reduction. Collaborate with cross-functional teams and leverage cutting-edge technologies in food recognition.
Responsibilities
- Designs tests and experiments to build machine-learning and AI models for detecting and recognising food and non-food items from images and videos and optionally texts, not excluding other contextual data like date, time, season, geography etc to improve the performance of the models.
- Maintains a high level of data quality via directing and guiding the annotation team and third-parties in data annotation and labelling, including leveraging modern AI-assisted annotation approaches.
- Manages the data efficiently for model training and evaluation.
- Applies state-of-the-art model architectures and techniques (including deep learning, transformer-based and multimodal models) to improve the models.
- Prepares reports and presents results to summarise main findings and conclusions
- Presents results of scientific research to stakeholders and may contribute to external publications or technical articles.
- Writes software and algorithms for training and running the models within Winnow applications.
- Collaborates with other teams at Winnow in deploying the models to Winnow's applications to embedded systems like NVIDIA Jetson devices and to the cloud platforms such as AWS and GCP.
- Explores and integrates Large Language Models (LLMs) and Vision-Language Models (VLMs) for tasks such as annotation support, detection, multimodal reasoning, and building AI-powered services and agents.
Requirements
- Minimum Master's degree in Machine Learning, Computer Science, Mathematics, Statistics or equivalent with preferably some commercial experience.
- Experience in developing and deploying ML and AI models end-to-end gained in at least one corporate environment.
- Strong knowledge of one or more of the following areas: Object Detection, Image Classification, Action Recognition, Image Generation, or Semantic Segmentation. Experience in Bayesian methods, Reinforcement Learning, Signal Processing or NLP is a plus.
- Experience with modern deep learning approaches, including transformer-based models and multimodal systems (LLMs/VLMs).
- Expertise in working with TensorFlow or PyTorch.
- Experience adapting modern model architectures to solve real-world problems.
- Familiarity with Linux and AWS.
- Experience with model inference and optimisation tools (e.g. ONNX, TensorRT or similar). Experience with modern LLM serving frameworks (e.g., vLLM, Ollama) is a plus.
- Good programming skills using Python.
- Comfortable working independently, prototyping solutions, and bringing them to production.
- Teamwork, knowledge transfer, process documentation.
- Passionate about Machine Learning and Artificial Intelligence.
Benefits
- Competitive base salary
- Meal tickets - 40 RON per working day
- 2 Wellness hours per month plus a 274 RON gross monthly wellness allowance or the option to swap the wellness allowance for a 7Card subscription
- 25 days of paid vacation time in addition to national holidays, plus the option to buy a further 5 days annual leave
- Company part-funded private health insurance and eye care allowance
- Life insurance (3 times base salary)
- Company stock options package
- Eligible for discretionary annual bonus
- Employee Assistance Programme - 24/7 helpline for your wellbeing
- Learning and development allowance of 1,730 RON annually
- Hybrid way of working - we’re all in the office on Wednesdays and Thursdays
- Company provided breakfast & snacks on office days
- Early Finish Fridays - log off at 3 PM on a Friday if you have completed your tasks by then
- Our own office space with a great working environment
- You will love what you do – waking up every day solving one of the biggest social problems of our generation - food waste
- Committed team members with broad experience who share a common passion to build a world class business
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