Sr Machine Learning Engineer

OverviewSenior Machine Learning Engineer at Amgen. In this vital role you will build and scale machine learning models from development to production. Your expertise in both machine learning and operations will be essential in creating efficient and reliable ML pipelines.What You Will DoCollaborate with data scientists to develop, train, and evaluate machine learning models.Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring.Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment.Implement DevOps/MLOps best practices to automate ML workflows and improve efficiency.Develop and implement monitoring systems to track model performance and identify issues.Conduct A/B testing and experimentation to optimize model performance.Work closely with data scientists, engineers, and product teams to deliver ML solutions.Stay updated with the latest trends and advancements in ML/AI.Must-Have SkillsSolid foundation in machine learning algorithms and techniquesExperience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow); Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)Outstanding analytical and problem-solving skills; Ability to learn quickly; Good communication and interpersonal skillsGood-to-Have SkillsExperience with big data technologies (e.g., Spark, Hadoop), and performance tuning in query and data processingExperience with data engineering and pipeline developmentExperience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classificationKnowledge of NLP techniques for text analysis and sentiment analysisExperience in analyzing time-series data for forecasting and trend analysisWhat We Expect Of YouWe are all different, yet we all use our unique contributions to serve patients. The professional we seek will have these qualifications.Basic QualificationsDoctorate degreeORMasters degree and 2 years of Computer Science experienceORBachelors degree and 4 years of Computer Science experienceORAssociates degree and 8 years of Computer Science experienceORHigh school diploma / GED and 10 years of Computer Science experiencePreferred QualificationsCertifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus.Soft SkillsExcellent analytical and troubleshooting skills.Strong verbal and written communication skillsAbility to work effectively with global, virtual teamsHigh degree of initiative and self-motivation.Ability to manage multiple priorities successfully.Team-oriented, with a focus on achieving team goals.Ability to learn quickly, be organized and detail oriented.Strong presentation and public speaking skills.What You Can Expect From UsAs 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 addition to the base salary, Amgen offers a Total Rewards Plan, comprising Health and Welfare Plans, Financial Plans with Opportunities To Save Towards Retirement Or Other Goals, Work/Life Balance, and Career Development Opportunities. This may include:A comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accountsA discretionary annual bonus program, or for field sales representatives, a sales-based incentive planStock-based long-term incentivesAward-winning time-off plansFlexible work models, including remote and hybrid work arrangements, where possibleApply now and make a lasting impact with the Amgen In any materials you submit, you may redact or remove age-identifying information such as age, date of birth, or dates of school attendance or graduation. You will not be penalized for redacting or removing this information.Application deadlineAmgen does not have an application deadline for this position; we will continue accepting applications until we receive a sufficient number or select a candidate for the position.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. Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.Job detailsSeniority level: Mid-Senior levelEmployment type: Full-timeJob function: Engineering and Information TechnologyIndustries: Internet News #J-18808-Ljbffr

Created: 2025-09-17