As a Senior Machine Learning Engineer, you'll lead the development of innovative ML solutions. This role is perfect for someone with a strong background in MLOps and a passion for working with complex data.
Innovative and data-driven
In this role, you will be responsible for designing, building, and deploying scalable machine learning solutions that handle complex physiological and biological data. Your expertise in MLOps will be crucial as you implement practices such as continuous integration and deployment, model versioning, and monitoring to ensure the efficiency and reliability of the ML systems you create.
Your day-to-day tasks will involve collaborating with cross-functional teams to understand data requirements and translate them into effective ML models. You will also be expected to take ownership of the entire ML lifecycle, from data preprocessing to model deployment and monitoring. This position is ideal for someone who enjoys tackling challenging problems and is eager to make a significant impact in the field of machine learning.
Key responsibilities include: • Designing and implementing machine learning algorithms • Building and deploying scalable ML solutions • Monitoring and maintaining ML models in production • Collaborating with data scientists and engineers to optimize data pipelines
To succeed in this role, you should have a strong background in machine learning and MLOps, with at least five years of experience in the field. A passion for working with complex data and a proactive approach to problem-solving will help you thrive in this innovative and data-driven environment.
You'll be taken to the original listing on PNet to apply.