Sr. Manufacturing Systems Engineer - AI Vision Systems

Career Category

Information Systems

Job Description

Join Amgen’s Mission of Serving Patients

At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.

Since 1980, we’ve helped pioneer the world of biotech in our fight against the world’s toughest diseases. With our focus on four therapeutic areas –Oncology, Inflammation, General Medicine, and Rare Disease– we reach millions of patients each year. As a member of the Amgen team, you’ll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.

Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you’ll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.

Senior Manufacturing Systems Engineer -AI Vision Systems

What you will do

Let’s do this. Let’s change the world. In this vital role you will drive the implementation and expansion of cutting-edge AI Vision Systems & Technologies across Amgen’s global network of manufacturing sites, including at our new advanced Final Drug Product Packaging plant in Columbus Ohio where you will be based. You will collaborate closely with Architects, Development Teams, Business Owners, Subject Matter Experts and other stakeholders to deliver and maintain high-quality, high-value, scalable solutions.

• Define and maintain the platform roadmap for AI Vision Systems & Technologies across Amgen’s global network of manufacturing sites

• Lead efforts to design, build, and develop rapid Proof-of-Concepts (POC) Quickly and iteratively prove or disprove the concepts being considered.

• Work with process subject matter experts (SMEs) to understand key process requirements and transform them into digital automated solutions

• Lead development on high profile and complex projects to ensure quality and timely delivery of projects by working closely with cross-functional team members

• Synthesize requirements from clients, customers or end-users to develop the best automation solutions

• Identify and manage risks associated with the systems, including technological risks, scientific validation, and user acceptance

• Develop documentation, communication plans and training plans for end users

• Ensure operational excellence, cybersecurity and compliance.

What we expect of you

We are all different, yet we all use our unique contributions to serve patients. The professional we seek will have these qualifications.

Basic Qualifications:

Doctorate degree

OR

Master’s degree and 2 years of Life Science/Biotechnology/Pharmacology/Information Systems experience

Or

Bachelor’s degree and 4 years of Life Science/Biotechnology/Pharmacology/Information Systems experience

Or

Associate’s degree and 8 years of Life Science/Biotechnology/Pharmacology/Information Systems experience

Or

High school diploma / GED and 10 years of Life Science/Biotechnology/Pharmacology/Information Systems experience

Preferred Qualifications:

• Proven experience in designing, building and deploying Computer Vision Systems

• Experience building models and developing algorithms for deep learning, machine learning, and/or artificial intelligence

• Programming proficiency in Python and an ability to learn new development tools and libraries

• Strong customer service focus with the proven ability to develop and maintain effective working relationships with team members, stakeholders and management.

• Self-motivated individual with demonstrated ability to learn new concepts and technologies, work cross-functionally in teams (internal and external)

Functional Skills:

Must-Have Skills

• Excellent problem-solving skills and a passion for tackling complex challenges in manufacturing with technology

• Experience and understanding of industrial cameras and machine vision technologies

• Understanding of manufacturing technologies, systems, data and integrations.

• Experience working with AWS or other cloud technologies in a hybrid-cloud environment

• Collaborative spirit and effective communication skills to work seamlessly in a cross-functional team

• An ongoing commitment to learning and staying at the forefront of technology, digital and AI advancemen