BioSpace
Overview
Senior Machine Learning Engineer role at Amgen. Join Amgen’s mission of serving patients. Our focus is on Oncology, Inflammation, General Medicine, and Rare Disease to help millions of patients each year. We aim to transform lives through research, manufacturing, and delivery of innovative medicines. Our award-winning culture is collaborative, innovative, and science-based. If you have a passion for challenges and growth, you will thrive as part of the Amgen team. What You Will Do
As part of the technical/engineering team, you will develop data flow pipelines to extract, transform, and load data from various sources into the enterprise data lake and data warehouse systems across three AWS regions. You will provide data analytics and predictive analysis to business users. You should be able to work in a team, mentor junior engineers, be curious to learn, and develop data engineering and machine learning solutions in a fast-moving environment. Be a key team member assisting in design and development of the data pipeline for Global Data and Analytics, including data cleaning and transformation. Explore and understand various datasets used in biotech/pharma commercial data analytics; create informative and appealing data visualizations. Collaborate with Data Scientists to perform data cleaning, statistical analysis, and feature engineering; develop pipelines for model selection, training, and evaluation. Understand experimental design and conduct A/B tests for data-driven decision-making. Ensure consistent feature engineering between training and model serving. Automate model deployment, monitoring, and model retraining processes. Adhere to best practices for coding, testing, and designing reusable code/components. Be flexible to work on data engineering or machine learning projects based on current product backlog within the team. Explore new tools and technologies to improve ETL platform performance and machine learning operations. Work effectively in cross-functional teams and collaborate with data engineers, analysts, and business stakeholders. Communicate insights clearly to non-technical stakeholders. Stay updated with the latest trends in data science and machine learning technologies. Mentor junior data/machine learning engineers. What We Expect From You
The ML professional we seek will have these qualifications. Basic Qualifications
Doctorate degree OR Masters degree and 2 years of Data Science/Machine Learning experience OR Bachelors degree and 4 years of Data Science/Machine Learning experience OR Associates degree and 8 years of Data Science/Machine Learning experience OR High school diploma / GED and 10 years of Data Science/Machine Learning experience Preferred Qualifications
Strong programming skills in Python or R, with libraries for data manipulation, statistical analysis, visualization, and ML algorithms and frameworks. Outstanding analytical and problem-solving skills; ability to learn quickly; experience in model selection, training, and evaluation. Familiar with PySpark dataframe and data processing libraries, ML frameworks (TensorFlow, Keras, PyTorch), and other ML libraries. Familiar with ML lifecycle concepts including feature stores, MLflow, model registry, deployment, serving, and monitoring. Proficiency in statistical techniques and hypothesis testing; experience with regression, clustering, and classification. Experience with data modeling for OLAP/OLTP, SQL, and SparkSQL performance tuning. Experience with DevOps CI/CD tools, GitLab. Familiar with AWS, Azure, or Google Cloud. Knowledge of NLP techniques for text and sentiment analysis. Experience analyzing time-series data for forecasting and trend analysis. Experience with Docker and Kubernetes. Experience with Databricks, Apache Airflow, and Apache Spark; Spark performance tuning. Experience in the Pharmaceutical industry and commercial operations. What you can expect from us
We support your professional and personal growth and well-being with competitive benefits and a collaborative culture. Salary ranges are posted and vary based on skills, experience, and qualifications. In addition to base salary, Amgen offers a Total Rewards Plan including health and welfare plans, retirement savings, work-life balance, and career development opportunities. A comprehensive benefits package including retirement plan with company contributions, medical/dental/vision coverage, life and disability insurance, and flexible spending accounts. Discretionary annual bonus program; sales-based incentive plan for field sales representatives. Stock-based long-term incentives. Award-winning time-off plans. Flexible work models, including remote and hybrid arrangements where possible. Apply now and make a lasting impact with the Amgen team. careers.amgen.com Equal Opportunity and Accommodations
Amgen is an Equal Opportunity employer and will consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by law. We provide reasonable accommodations to participate in the application or interview process. Please contact us to request accommodation.
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Senior Machine Learning Engineer role at Amgen. Join Amgen’s mission of serving patients. Our focus is on Oncology, Inflammation, General Medicine, and Rare Disease to help millions of patients each year. We aim to transform lives through research, manufacturing, and delivery of innovative medicines. Our award-winning culture is collaborative, innovative, and science-based. If you have a passion for challenges and growth, you will thrive as part of the Amgen team. What You Will Do
As part of the technical/engineering team, you will develop data flow pipelines to extract, transform, and load data from various sources into the enterprise data lake and data warehouse systems across three AWS regions. You will provide data analytics and predictive analysis to business users. You should be able to work in a team, mentor junior engineers, be curious to learn, and develop data engineering and machine learning solutions in a fast-moving environment. Be a key team member assisting in design and development of the data pipeline for Global Data and Analytics, including data cleaning and transformation. Explore and understand various datasets used in biotech/pharma commercial data analytics; create informative and appealing data visualizations. Collaborate with Data Scientists to perform data cleaning, statistical analysis, and feature engineering; develop pipelines for model selection, training, and evaluation. Understand experimental design and conduct A/B tests for data-driven decision-making. Ensure consistent feature engineering between training and model serving. Automate model deployment, monitoring, and model retraining processes. Adhere to best practices for coding, testing, and designing reusable code/components. Be flexible to work on data engineering or machine learning projects based on current product backlog within the team. Explore new tools and technologies to improve ETL platform performance and machine learning operations. Work effectively in cross-functional teams and collaborate with data engineers, analysts, and business stakeholders. Communicate insights clearly to non-technical stakeholders. Stay updated with the latest trends in data science and machine learning technologies. Mentor junior data/machine learning engineers. What We Expect From You
The ML professional we seek will have these qualifications. Basic Qualifications
Doctorate degree OR Masters degree and 2 years of Data Science/Machine Learning experience OR Bachelors degree and 4 years of Data Science/Machine Learning experience OR Associates degree and 8 years of Data Science/Machine Learning experience OR High school diploma / GED and 10 years of Data Science/Machine Learning experience Preferred Qualifications
Strong programming skills in Python or R, with libraries for data manipulation, statistical analysis, visualization, and ML algorithms and frameworks. Outstanding analytical and problem-solving skills; ability to learn quickly; experience in model selection, training, and evaluation. Familiar with PySpark dataframe and data processing libraries, ML frameworks (TensorFlow, Keras, PyTorch), and other ML libraries. Familiar with ML lifecycle concepts including feature stores, MLflow, model registry, deployment, serving, and monitoring. Proficiency in statistical techniques and hypothesis testing; experience with regression, clustering, and classification. Experience with data modeling for OLAP/OLTP, SQL, and SparkSQL performance tuning. Experience with DevOps CI/CD tools, GitLab. Familiar with AWS, Azure, or Google Cloud. Knowledge of NLP techniques for text and sentiment analysis. Experience analyzing time-series data for forecasting and trend analysis. Experience with Docker and Kubernetes. Experience with Databricks, Apache Airflow, and Apache Spark; Spark performance tuning. Experience in the Pharmaceutical industry and commercial operations. What you can expect from us
We support your professional and personal growth and well-being with competitive benefits and a collaborative culture. Salary ranges are posted and vary based on skills, experience, and qualifications. In addition to base salary, Amgen offers a Total Rewards Plan including health and welfare plans, retirement savings, work-life balance, and career development opportunities. A comprehensive benefits package including retirement plan with company contributions, medical/dental/vision coverage, life and disability insurance, and flexible spending accounts. Discretionary annual bonus program; sales-based incentive plan for field sales representatives. Stock-based long-term incentives. Award-winning time-off plans. Flexible work models, including remote and hybrid arrangements where possible. Apply now and make a lasting impact with the Amgen team. careers.amgen.com Equal Opportunity and Accommodations
Amgen is an Equal Opportunity employer and will consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by law. We provide reasonable accommodations to participate in the application or interview process. Please contact us to request accommodation.
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