Associate Machine Learning Engineer

ng 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.

• Support implementation of DevOps/MLOps best practices to automate ML workflows and improve efficiency.

• Support development and implementation of 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.

Must-Have Skills:

• Solid theoretical foundation in machine learning algorithms and techniques

• Experience in at least one MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow); Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)

• Proficiency in Python and at least one ML library (e.g., TensorFlow, PyTorch, Scikit-learn)

• Strong analytical and problem-solving skills; Ability to learn quickly; Good 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

Education and Professional Certifications

• Bachelor's degree with 2-5 years of experience in Computer Science, IT or related field

• Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.)

Soft Skills:

• Strong 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.

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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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.

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