Sartorius is a global life science company focused on advancing next-generation intelligent ... field. • You will proactively identify and resolve issues affecting data quality, ensuring high ...
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Sartorius
2 Sartorius Field Service Engineer Jobs Hiring Near You
Sartorius is a global life science company focused on advancing next-generation intelligent ... field. • You will proactively identify and resolve issues affecting data quality, ensuring high ...
New
Bioengineering Intern - Ann Arbor, MI
$16.50 - $21.25/hr
... a related field who have a solid technical foundation, some exposure to programming, and ... Sartorius is an equal opportunity employer and will consider all qualified applicants for ...
Bioengineering Intern - Ann Arbor, MI
$16.50 - $21.25/hr
... a related field who have a solid technical foundation, some exposure to programming, and ... Sartorius is an equal opportunity employer and will consider all qualified applicants for ...
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Full-time
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Job description
Job Summary:
Sartorius is a global life science company focused on advancing next-generation intelligent instruments. They are seeking an AI Deployment Engineer to transform AI research into scalable solutions, collaborating with experts to embed AI into analytical instruments and ensuring seamless user experiences.
Responsibilities:
• Convert complex AI/ML research models into robust, maintainable, and scalable production systems.
• Collaborate with internal subject matter experts focusing on cutting edge product development to embed models into analytical instruments and imaging platforms.
• You will focus on creating a seamless end-user experience, ensuring AI features are intuitive and Build and optimize automated deployment pipelines using internal DevOps tooling, meant for early adopters, partners and collaborators.
• Implement and troubleshoot based on frequent feedback.
• Optimize models for latency and hardware constraints.
• By reducing processing time and improving efficiency, you enable users to achieve faster results and higher throughput in their biological assays.
• Implement observability frameworks to monitor model performance in the field.
• You will proactively identify and resolve issues affecting data quality, ensuring high reliability and traceability for regulated industries.
• Act as a bridge between data scientists and product development teams.
• You will translate user feedback and lab requirements into engineering specifications to ensure our AI capabilities solve actual pain points.
Qualifications:
Required:
• Masters' with 5+ years or PhD with 1+ year(s) of experience in Computer Science, Machine Learning, or Software Engineering fields.
• Strong experience with MLOps and CI/CD, focusing on delivering stable software to end-users.
• Proficiency in Python and deep-learning frameworks (PyTorch, TensorFlow).
• Experience deploying AI models via containers or embedded systems to diverse customer environments.
• Strong communication skills with the ability to explain technical AI concepts to non-technical stakeholders.
Preferred:
• Experience integrating AI into embedded systems with a focus on usability.
• Knowledge of model-acceleration frameworks to improve real-time user feedback.
• Understanding of microscopy or life sciences workflows to better anticipate customer needs.
Company:
Sartorius helps its customers to develop and manufacture biotech medicines reliably, quickly, and economically. It is a sub-organization of Sartorius. Founded in 1870, the company is headquartered in Göttingen, DEU, with a team of 10001+ employees. The company is currently Late Stage.
Sartorius is a global life science company focused on advancing next-generation intelligent instruments. They are seeking an AI Deployment Engineer to transform AI research into scalable solutions, collaborating with experts to embed AI into analytical instruments and ensuring seamless user experiences.
Responsibilities:
• Convert complex AI/ML research models into robust, maintainable, and scalable production systems.
• Collaborate with internal subject matter experts focusing on cutting edge product development to embed models into analytical instruments and imaging platforms.
• You will focus on creating a seamless end-user experience, ensuring AI features are intuitive and Build and optimize automated deployment pipelines using internal DevOps tooling, meant for early adopters, partners and collaborators.
• Implement and troubleshoot based on frequent feedback.
• Optimize models for latency and hardware constraints.
• By reducing processing time and improving efficiency, you enable users to achieve faster results and higher throughput in their biological assays.
• Implement observability frameworks to monitor model performance in the field.
• You will proactively identify and resolve issues affecting data quality, ensuring high reliability and traceability for regulated industries.
• Act as a bridge between data scientists and product development teams.
• You will translate user feedback and lab requirements into engineering specifications to ensure our AI capabilities solve actual pain points.
Qualifications:
Required:
• Masters' with 5+ years or PhD with 1+ year(s) of experience in Computer Science, Machine Learning, or Software Engineering fields.
• Strong experience with MLOps and CI/CD, focusing on delivering stable software to end-users.
• Proficiency in Python and deep-learning frameworks (PyTorch, TensorFlow).
• Experience deploying AI models via containers or embedded systems to diverse customer environments.
• Strong communication skills with the ability to explain technical AI concepts to non-technical stakeholders.
Preferred:
• Experience integrating AI into embedded systems with a focus on usability.
• Knowledge of model-acceleration frameworks to improve real-time user feedback.
• Understanding of microscopy or life sciences workflows to better anticipate customer needs.
Company:
Sartorius helps its customers to develop and manufacture biotech medicines reliably, quickly, and economically. It is a sub-organization of Sartorius. Founded in 1870, the company is headquartered in Göttingen, DEU, with a team of 10001+ employees. The company is currently Late Stage.