Sr Machine Learning Engineer

Sr Machine Learning Engineer

Amgen - Thousand Oaks, CA (On-site, Remote)
• Full-time
• Estimated pay: $128.70K - $169.70K/yr
• Benefits:
Medical, Dental, Vision, Life, Retirement

Posted 9 hours ago

• 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 Dev Ops/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.

• Solid foundation in machine learning algorithms and techniques
• Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow);
  Experience in Dev Ops tools (e.g., Docker, Kubernetes, CI/CD)
• Proficiency in Python and relevant ML libraries (e.g., Tensor Flow, PyTorch, Scikit-learn)
• Outstanding analytical and problem-solving skills;
  Ability to learn quickly;
  Good communication and interpersonal 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

Doctorate degree OR Master's degree and 2 years of Computer Science experience OR Bachelor's degree and 4 years of Computer Science experience OR Associate's degree and 8 years of Computer Science experience OR High school diploma / GED and 10 years of Computer Science experience

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

• 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.

Salary Range:  USD -  USD