Sr Machine Learning Engineer - Thousand Oaks, CA

Sr Machine Learning Engineer - Thousand Oaks, CA Join to apply for the Sr Machine Learning Engineer - Thousand Oaks, CA role at VetJobs Job Description Overview Senior Machine Learning Engineer role with responsibilities in building and scaling ML models from development to production, and managing ML pipelines with a focus on MLOps and cloud-based development. What you will do 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 in the field. Must-Have Skills Solid 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., TensorFlow, PyTorch, Scikit-learn) Outstanding 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, 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 Education & Qualifications Basic Qualifications: 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 Preferred Qualifications: Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus. 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 What you can expect from us We support professional and personal growth and well-being with a competitive benefits package and a collaborative culture. Salary ranges are posted and vary based on skills, experience, and qualifications. Amgen offers a total rewards plan including health and welfare plans, retirement savings, work/life balance, and career development opportunities where applicable. Salary Range: 158,606.00 USD - 200,052.00 USD City: Thousand Oaks, California Job Category: Engineering Seniority level Mid-Senior level Employment type Full-time Job function Engineering and Information Technology Note: This description reflects the content provided and has been reformatted for clarity and compliance with formatting guidelines. #J-18808-Ljbffr

Created: 2025-09-17