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Senior Machine Learning Engineer
2 months ago
La Fosse is partnering with a cutting-edge Bio-Tech AI Start-up to find a highly skilled Machine Learning Engineer to lead their growing team.
The company's mission is to develop innovative AI models that leverage microscopy data and genomics to drive groundbreaking discoveries. As the Lead Machine Learning Engineer, you will be responsible for overseeing the development and implementation of computer vision and machine learning models for cell prediction.
You will play a crucial role in planning and developing the machine learning infrastructure, collaborating with the biology team, and ensuring the successful deployment of models. Your expertise in computer vision ML models and modern frameworks such as PyTorch and TensorFlow will be essential in driving the company's mission forward.
Key Responsibilities:
- Lead a team of Machine Learning Engineers in developing and implementing computer vision and machine learning models.
- Collaborate with the biology team to ensure the successful deployment of models.
- Develop and maintain the machine learning infrastructure.
- Stay up-to-date with the latest advancements in machine learning and computer vision.
Requirements:
- 5+ years of experience as a Machine Learning Engineer.
- Experience working in a top-tier tech or AI-bio company, with a focus on taking models from concept to production.
- Previous experience taking the technical lead of a team of ML engineers.
- Strong background in computer vision ML models and using modern frameworks for deploying these models.
- Proficient in Python, and familiar with deep learning frameworks like PyTorch (required) and TensorFlow.
- Skilled in using cloud services (GCP, AWS or Azure).
La Fosse is committed to finding the best talent for this role. If you're a highly skilled Machine Learning Engineer looking for a new challenge, please apply through the advert to find out more.
