6 часов назад
Delivery Consultant - AI/ML, AWS Professional Services - HCLS (AI/ML)
131 300 - 195 400$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Delivery Consultant - AI/ML, AWS Professional Services - HCLS (AI/ML): Implementing end-to-end AI/ML and GenAI solutions for enterprise customers on AWS with an accent on scalable architectures, Agentic AI, and MLOps. Focus on building reliable data and machine learning pipelines, deploying and monitoring models, and advising customers on cloud adoption.
Location: United States — Jersey City, Seattle, Arlington, Atlanta, New York, Herndon, Chicago, Houston, or Dallas. Customer-site travel may be required.
Salary: $131,300–$177,600 or $144,500–$195,400 USD annually, depending on location.
Company
Web Services provides cloud computing services and helps enterprises adopt AWS technologies.
What you will do
- Implement end-to-end AI/ML and GenAI projects, including data preparation, model development, deployment, and monitoring.
- Design scalable, reliable, high-performance, and secure Agentic AI and machine learning pipelines.
- Build MLOps solutions using AWS services and apply GenAI where appropriate.
- Collaborate with Science, DevOps, Data Engineering, Cloud Infrastructure, and Applications teams to operationalize data and models.
- Advise customers on AI/ML, GenAI, AWS architectures, industry trends, and cloud adoption strategies.
- Share knowledge through mentoring, training, publications, and reusable technical artifacts.
Requirements
- 3+ years of cloud architecture and solution implementation experience.
- Knowledge of core AWS services, including EC2, ELB, RDS, Route 53, and S3.
- 3+ years of software development or scripting experience.
- 3+ years of experience building machine learning and generative AI models for business applications.
- 3+ years of customer-facing experience working with executives, technologists, or partners.
- Experience with machine learning cloud services such as SageMaker.
Nice to have
- Experience designing, deploying, and evaluating AI agents using LangChain, LangGraph, LlamaIndex, or similar frameworks.
- Deep learning, computer vision, human-robot interaction, or algorithm implementation experience with PyTorch or TensorFlow.
- Experience with MLOps pipelines, distributed and GPU training, model deployment, monitoring, retraining, containers, and CI/CD.
- Healthcare and life sciences domain expertise.
Culture & Benefits
- Inclusive environment with employee-led affinity groups and diversity-focused learning events.
- Mentorship, knowledge-sharing, and career development resources.
- Work-life flexibility and support for work-life harmony.
- Benefits include health insurance, 401(k) matching, paid time off, parental leave, and sign-on payments and RSUs.
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