National Guard Employment Network
CD&A Principal Machine Learning Engineer - Deerfield IL
National Guard Employment Network, Deerfield, Illinois, United States, 60063
Job Description
ATTENTION MILITARY AFFILIATED JOB SEEKERS
- Our organization works with partner companies to source qualified talent for their open roles. The following position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers. If you have the required skill set, education requirements, and experience, please click the submit button and follow the next steps. Unless specifically stated otherwise, this role is "On-Site" at the location detailed in the job post.
Career Category Sales & Marketing Operations 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.
CD&A - Principal Machine Learning Engineer
What you will do Let's do this. Let's change the world. In this vital role you will help shape and scale the machine learning ecosystem that drives strategic insights for Amgen's Commercial organization. You will be a key technical leader within a collaborative, multi-functional team dedicated to delivering actionable recommendations using advanced machine learning and data science solutions.
As a Principal Machine Learning Engineer, you will architect and implement robust, scalable solutions using modern tools such as Databricks, Spark, AWS services, GitLab CI/CD, and more. You will drive architectural decisions, set engineering best practices, and play a critical role in supporting the team's data scientists (your primary partners) to bring models from concept to production. Your work will support end-to-end machine learning lifecycle management, including DevOps/MLOps pipelines, production-grade model deployment and monitoring, data orchestration, and cloud-native infrastructure. This is a hands-on, leadership-oriented role that requires strategic vision, technical depth, and strong interpersonal communication skills to optimally engage both internal partners and external vendors.
Beyond your technical contributions, your efforts will directly support Amgen's mission to accelerate diagnosis and treatment for patients with rare diseases, helping bring life-changing therapies to those who need them most.
Flexible Commuter role to the Deerfield, IL office. You will work on-site a minimum of 2-3 days a week.
Provide technical guidance to data scientists and leadership to junior engineers; lead new project initiatives, drive standard processes through code reviews, design scalable system architecture, and foster internal knowledge-sharing Act as a key point of contact with external vendors (e.g., Databricks, Neo4j, AWS, IQVIA, Komodo, Veeva) to manage escalations, align on roadmap updates, maintain real-time communication practices, and know the latest with platform changes aligned to U.S. business operations Collaborate closely and communicate proactively with U.S.-based data scientists, engineers, IT, cloud infrastructure, data governance, analytics, and brand teams to deliver critical machine learning capabilities Architect and implement end-to-end MLOps pipelines (training, deployment, monitoring, CI/CD, lineage, and rollback) Architect and implement end-to-end data pipelines (ingestion, storage, transformation, validation, orchestration, and monitoring) Design and implement internal ML tooling, shared libraries, and utilities Build and maintain production ML pipelines using Spark, Databricks, MLflow, and other analytics platforms Leverage and integrate cloud-native services (primarily in AWS and Databricks) to enable performant, secure, and cost-effective ML and data infrastructure Lead DevOps and GitOps practices across ML systems, including but not limited to CI/CD automation, environment provisioning, and job orchestration Monitor and optimize the reliability and performance of data pipelines Drive adoption of standard processes for model versioning, testing, validation, and deployment
Additional Qualifications/Responsibilities
What we expect of you We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a collaborator with these qualifications.
Basic Qualifications:
Doctorate degree and 2 years of Software Engineering, Data Engineering, Data Science, Machine Learning, Statistics experience
OR
Master's degree and 4 years of Software Engineering, Data Engineering, Data Science, Machine Learning, Statistics experience
OR
Bachelor's degree and 6 years of Software Engineering, Data Engineering, Data Science, Machine Learning, Statistics experience
OR
Associate's degree and 10 years of Software Engineering, Data Engineering, Data Science, Machine Learning, Statistics experience
OR
High school diploma / GED and 12 years of Software Engineering, Data Engineering, Data Science, Machine Learning, Statistics experience
Preferred Qualifications:
Advanced proficiency in Python, SQL, command line tools, and distributed computing frameworks (e.g., Apache Spark) Hands-on experience with cloud ML and data infrastructure on AWS, GCP, or Azure Deep familiarity with MLOps and DevOps tools (CI/CD, GitHub Actions/GitLab CI, job orchestration) Demonstrated experience in platform design, infrastructure-as-code, and cost/performance optimization Excellent communication skills and experience collaborating with internal collaborators and external vendors Strong leadership and mentoring abilities; ability to influence standards and engineering culture across teams Strong ability to learn quickly and solve problems efficiently, independently, and in a systematic manner Actively stays up to date with emerging tools, software development best practices, and cloud platform features Familiarity with healthcare, patient-level, or claims data Experience working at a healthcare, pharmaceutical, or biotechnology company Exposure to regulated enterprise data environments Understanding of data privacy and compliance standards in U.S.-based healthcare settings Familiarity with NoSQL databases (MongoDB, Neo4j, Redis, etc.) Familiarity with data visualization and dashboarding 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.
The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.
In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:
Salary Range
189,750.00 USD - 233,440.00 USD
ATTENTION MILITARY AFFILIATED JOB SEEKERS
- Our organization works with partner companies to source qualified talent for their open roles. The following position is available to Veterans, Transitioning Military, National Guard and Reserve Members, Military Spouses, Wounded Warriors, and their Caregivers. If you have the required skill set, education requirements, and experience, please click the submit button and follow the next steps. Unless specifically stated otherwise, this role is "On-Site" at the location detailed in the job post.
Career Category Sales & Marketing Operations 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.
CD&A - Principal Machine Learning Engineer
What you will do Let's do this. Let's change the world. In this vital role you will help shape and scale the machine learning ecosystem that drives strategic insights for Amgen's Commercial organization. You will be a key technical leader within a collaborative, multi-functional team dedicated to delivering actionable recommendations using advanced machine learning and data science solutions.
As a Principal Machine Learning Engineer, you will architect and implement robust, scalable solutions using modern tools such as Databricks, Spark, AWS services, GitLab CI/CD, and more. You will drive architectural decisions, set engineering best practices, and play a critical role in supporting the team's data scientists (your primary partners) to bring models from concept to production. Your work will support end-to-end machine learning lifecycle management, including DevOps/MLOps pipelines, production-grade model deployment and monitoring, data orchestration, and cloud-native infrastructure. This is a hands-on, leadership-oriented role that requires strategic vision, technical depth, and strong interpersonal communication skills to optimally engage both internal partners and external vendors.
Beyond your technical contributions, your efforts will directly support Amgen's mission to accelerate diagnosis and treatment for patients with rare diseases, helping bring life-changing therapies to those who need them most.
Flexible Commuter role to the Deerfield, IL office. You will work on-site a minimum of 2-3 days a week.
Provide technical guidance to data scientists and leadership to junior engineers; lead new project initiatives, drive standard processes through code reviews, design scalable system architecture, and foster internal knowledge-sharing Act as a key point of contact with external vendors (e.g., Databricks, Neo4j, AWS, IQVIA, Komodo, Veeva) to manage escalations, align on roadmap updates, maintain real-time communication practices, and know the latest with platform changes aligned to U.S. business operations Collaborate closely and communicate proactively with U.S.-based data scientists, engineers, IT, cloud infrastructure, data governance, analytics, and brand teams to deliver critical machine learning capabilities Architect and implement end-to-end MLOps pipelines (training, deployment, monitoring, CI/CD, lineage, and rollback) Architect and implement end-to-end data pipelines (ingestion, storage, transformation, validation, orchestration, and monitoring) Design and implement internal ML tooling, shared libraries, and utilities Build and maintain production ML pipelines using Spark, Databricks, MLflow, and other analytics platforms Leverage and integrate cloud-native services (primarily in AWS and Databricks) to enable performant, secure, and cost-effective ML and data infrastructure Lead DevOps and GitOps practices across ML systems, including but not limited to CI/CD automation, environment provisioning, and job orchestration Monitor and optimize the reliability and performance of data pipelines Drive adoption of standard processes for model versioning, testing, validation, and deployment
Additional Qualifications/Responsibilities
What we expect of you We are all different, yet we all use our unique contributions to serve patients. The professional we seek is a collaborator with these qualifications.
Basic Qualifications:
Doctorate degree and 2 years of Software Engineering, Data Engineering, Data Science, Machine Learning, Statistics experience
OR
Master's degree and 4 years of Software Engineering, Data Engineering, Data Science, Machine Learning, Statistics experience
OR
Bachelor's degree and 6 years of Software Engineering, Data Engineering, Data Science, Machine Learning, Statistics experience
OR
Associate's degree and 10 years of Software Engineering, Data Engineering, Data Science, Machine Learning, Statistics experience
OR
High school diploma / GED and 12 years of Software Engineering, Data Engineering, Data Science, Machine Learning, Statistics experience
Preferred Qualifications:
Advanced proficiency in Python, SQL, command line tools, and distributed computing frameworks (e.g., Apache Spark) Hands-on experience with cloud ML and data infrastructure on AWS, GCP, or Azure Deep familiarity with MLOps and DevOps tools (CI/CD, GitHub Actions/GitLab CI, job orchestration) Demonstrated experience in platform design, infrastructure-as-code, and cost/performance optimization Excellent communication skills and experience collaborating with internal collaborators and external vendors Strong leadership and mentoring abilities; ability to influence standards and engineering culture across teams Strong ability to learn quickly and solve problems efficiently, independently, and in a systematic manner Actively stays up to date with emerging tools, software development best practices, and cloud platform features Familiarity with healthcare, patient-level, or claims data Experience working at a healthcare, pharmaceutical, or biotechnology company Exposure to regulated enterprise data environments Understanding of data privacy and compliance standards in U.S.-based healthcare settings Familiarity with NoSQL databases (MongoDB, Neo4j, Redis, etc.) Familiarity with data visualization and dashboarding 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.
The expected annual salary range for this role in the U.S. (excluding Puerto Rico) is posted. Actual salary will vary based on several factors including but not limited to, relevant skills, experience, and qualifications.
In addition to the base salary, Amgen offers a Total Rewards Plan, based on eligibility, comprising of health and welfare plans for staff and eligible dependents, financial plans with opportunities to save towards retirement or other goals, work/life balance, and career development opportunities that may include:
Salary Range
189,750.00 USD - 233,440.00 USD