Senior Manager Machine Learning - AI/ML & MLOps

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 Manager Machine Learning - AI/ML & MLOps


What you will do
Let’s do this. Let’s change the world. In this vital role you will lead and oversee a team of AI/ML engineers to develop and operationalize machine learning capabilities, with a focus on optimizing end-to-end MLOps processes. You will be responsible for handling the entire lifecycle of AI/ML model development, deployment, and monitoring at Amgen.
As a Sr. Manager, you will play a critical role in guiding your team through the implementation of scalable, efficient, and high-quality AI/ML solutions. You will lead the vision, drive innovation, and ensure seamless delivery of data-driven products that enhance decision-making across the organization. Your expertise will be pivotal in helping Amgen evolve its ML operations, ensuring that models are developed, deployed, and maintained in a reliable and scalable manner.
You will play a key role in a regulatory submission content automation initiative which will modernize and digitize the regulatory submission process, positioning Amgen as a leader in regulatory innovation. The initiative uses pioneering technologies, including Generative AI, structured content management, and integrated data to automate the creation, review, and approval of regulatory content.

Lead delivery of overall AI/ML solutions from concept to production, handling a multi-functional product team comprising AI/ML engineers, data scientists, and MLOps specialists to ensure that business, quality, and functional goals are met.

Drive excellence and quality across MLOps workflows, ensuring the reliability, scalability, and monitoring of deployed models.

Design and implement best-in-class MLOps practices to ensure a seamless deployment pipeline and model lifecycle management.

Be hands-on where necessary to drive quality and best-in-class engineering practices, including automation, CI/CD pipelines, and model monitoring.

Motivate and encourage your team to deliver innovative and impactful AI/ML solutions.

Communicate effectively with partners to align on goals and synchronize with the overall business vision.

Supervise the career development and growth of team members, providing guidance, mentorship, and support.

What we expect of you
As an Information Systems Senior Manager supervising AI/ML engineering, you will be responsible for leading a high-performance team to deliver effective AI/ML model solutions and ensure consistent operation of MLOps capabilities. You will collaborate with key partners, supervise engineering projects, ensure compliance with IT policies and standards, and drive the continuous improvement of AI/ML workflows.


Basic Qualifications:

Doctorate degree and 2 years of Information Systems experience
OR,

Master’s degree and 8 to 10 years of Information Systems experience
OR,

Bachelor’s degree and 10 to 14 years of Information Systems experience
OR,

Diploma and 14 to 18 years of Information Systems experience.

5+ years of managerial experience directly handling people and/or leading teams, projects, or programs.

In-depth knowledge of Agile process and principles.

Experience with financial/spend management for small to medium engineering teams is a plus.

Thorough understanding of AI/ML model development, MLOps practices, data integration, and cloud infrastructure, including AWS, Azure, or GCP.

Experience in building and leading teams with consistent standards and strong engineering practices.

Demonstrated experience with AWS, Databricks, and/or Azure MLOps applications and components, including infrastructure setup, model training and deployment, data integration, monitoring, and pipeline management.

Experience in optimizing workflows with CI/CD pipelines, handling model versioning, and implementing automated retraining mechanisms is crucial.

Preferred Qualifications:

Design, implement, and handle cloud infrastructure solutions using AWS and/or Azure services, ensuring scalability, security, and reliability.

Develop and maintain cloud-based applications by using core services like EC2, S3, RDS in AWS or VMs, Azure Blob Storage, and SQL Databases in Azure.

Use monitoring tools such as AWS CloudWatch or Azure Monitor to ensure high availability and performance of cloud-hosted systems.

Automate deployment processes using cloud-native tools (e.g., AWS CloudFormation, Azure Resource Manager, or Terraform) to support CI/CD pipelines.

Soft Skills:
Leadership:

Influences through Collaboration:Builds support for ideas by working collaboratively with others.

Strategic Thinking:Plans long-term and anticipates downstream impacts of decisions.

Transparent Decision-Making:Clearly articulates the rationale behind decisions and reflects on successes and failures.

Adaptive Leadership:Recognizes and leads through changing conditions in technology and operations.

What you can expect of us
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we’ll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.

Apply now

for a career that defies imagination
Objects in your future are closer than they appear. Join us.

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As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.