Sr Machine Learning Engineer - AI/ML - US Remote
Sr Machine Learning Engineer - AI/ML - US Remote
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$ 200052 - 200052
1 Vacancy
Job Description
Career Category
Information SystemsJob Description
Role Description:
We are seeking a Sr Machine Learning EngineerAmgens 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 modelsclassical ML deep learning and LLMssecurely 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 pipelinesdata ingestion feature engineering training hyper-parameter optimization evaluation registration and automated promotionusing 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 scaleselecting 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 observabilityreal-time metrics distributed tracing drift & bias detection and user-behavior analyticsenabling 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 componentsfeature stores model registries experiment-tracking librariesand 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 algorithmsregression tree-based ensembles clustering dimensionality reduction time-series models deep-learning architectures (CNNs RNNs transformers) and modern LLM/RAG techniqueswith 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 skillsable 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.
- Masters degree in computer science and or Data Science
- Familiarity with Agile methodologies and Scaled Agile Framework (SAFe) for project delivery.
Education and Professional Certifications
- Masters degree with 8 years of experience in Computer Science IT or related field
OR
- Bachelors 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
158606.00 USD - 200052.00 USDRequired Experience:
Senior IC
Employment Type
Full-Time
