Career Category

Engineering

Job Description

ABOUT AMGEN

Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today.

ABOUT THE ROLE:

Role Description:

We are seeking a highly skilled Machine Learning Engineer with a strong MLOps background to join our team. You will play a pivotal role in building and scaling our 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.

Roles & Responsibilities:

• Collaborate 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

Must-Have Skills:

• Strong foundation in machine learning algorithms and techniques

• Experience 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., Tensor Flow, Py Torch, Scikit-learn)

• Outstanding analytical and problem-solving skills; Ability to learn quickly; Excellent communication and interpersonal skills

Good-to-Have Skills:

• Experience with big data technologies (e.g., Spark, Hadoop), and performance tuning in query and data processing

• Experience with data engineering and pipeline development

• Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification

• Knowledge of NLP techniques for text analysis and sentiment analysis

• Experience in analyzing time-series data for forecasting and trend analysis

• Familiar with AWS, Azure, or Google Cloud;

• Familiar with Databricks platform for data analytics and MLOps

Education and Professional Certifications:

• Master’s / Degree degree with 8 -12 years of experience in Computer Science, IT or related field

Soft Skills:

• Excellent analytical and troubleshooting skills.

• Strong verbal and written communication skills

• Ability to work effectively with global, virtual teams

• High 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.

EQUAL OPPORTUNITY STATEMENT:

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.

We will ensure that individuals with disabilities are provided with 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 an accommodation.

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