Sr Machine Learning Engineer -AI/ML- US Remote

## **Career Category**Information Systems## ## **Job Description****ABOUT THE ROLE****Role Description:**We are seeking a **Sr Machine Learning Engineer**—Amgen’s senior individual-contributor authority on building and scaling end-to-end machine-learning and generative-AI platforms. Sitting at the intersection of engineering excellence and data-science enablement, you will design the core services, infrastructure and governance controls that allow hundreds of practitioners to prototype, deploy and monitor models—classical ML, deep learning and LLMs—securely and cost-effectively. Acting as a “player-coach,” you will establish platform strategy, define technical standards, and partner with DevOps, Security, Compliance and Product teams to deliver a frictionless, enterprise-grade AI developer experience.**Roles & Responsibilities:*** **Engineer end-to-end ML pipelines**—data ingestion, feature engineering, training, hyper-parameter optimization, evaluation, registration and automated promotion—using Kubeflow, SageMaker Pipelines, Open AI SDK or equivalent MLOps stacks.* **Harden research code into production-grade micro-services**, packaging models in Docker/Kubernetes and exposing secure REST, gRPC or event-driven APIs for consumption by downstream applications.* **Build and maintain full-stack AI applications** by integrating model services with lightweight UI components, workflow engines or business-logic layers so insights reach users with sub-second latency.* **Optimize performance and cost at scale**—selecting appropriate algorithms (gradient-boosted trees, transformers, time-series models, classical statistics), applying quantization/pruning, and tuning GPU/CPU auto-scaling policies to meet strict SLA targets.* **Instrument comprehensive observability**—real-time metrics, distributed tracing, drift & bias detection and user-behavior analytics—enabling rapid diagnosis and continuous improvement of live models and applications.* **Embed security and responsible-AI controls** (data encryption, access policies, lineage tracking, explainability and bias monitoring) in partnership with Security, Privacy and Compliance teams.* **Contribute reusable platform components**—feature stores, model registries, experiment-tracking libraries—and evangelize best practices that raise engineering velocity across squads.* **Perform exploratory data analysis and feature ideation** on complex, high-dimensional datasets to inform algorithm selection and ensure model robustness.* **Partner with data scientists to prototype and benchmark new algorithms**, offering guidance on scalability trade-offs and production-readiness while co-owning model-performance KPIs.**Must-Have** **Skills:*** **3-5 years** in AI/ML and enterprise software.* **Comprehensive command of machine-learning algorithms****—**regression, tree-based ensembles, clustering, dimensionality reduction, time-series models, deep-learning architectures (CNNs, RNNs, transformers) and modern LLM/RAG techniques—with the judgment to choose, tune and operationalize the right method for a given business problem.* Proven track record selecting and integrating AI SaaS/PaaS offerings **and** building custom ML services at scale.* Expert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, Semantic Kernel).* Proficiency in Python and Java; containerization (Docker/K8s); cloud (AWS, Azure or GCP) and modern DevOps/MLOps (GitHub Actions, Bedrock/SageMaker Pipelines).* Strong business-case skills—able to model TCO vs. NPV and present trade-offs to executives.* Exceptional stakeholder management; can translate complex technical concepts into concise, outcome-oriented narratives.**Good-to-Have Skills:*** Experience in Biotechnology or pharma industry is a big plus* Published thought-leadership or conference talks on enterprise GenAI adoption.* Master’s degree in computer science and or Data Science* Familiarity with Agile methodologies and Scaled Agile Framework (SAFe) for project delivery.**Education and Professional Certifications*** Master’s degree with 8 + years of experience in Computer Science, IT or related fieldOR* Bachelor’s degree with 10 + years of experience in Computer Science, IT or related field* 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..**Salary Range**158,606.00 USD - 200,052.00 USD #J-18808-Ljbffr

Created: 2025-09-18