4 days ago
Remote, United States +10 moreMid Level
H1B sponsor
Base Salary
$131k - $204k/yr
Responsibilities
- Implement end-to-end AI/ML and GenAI projects from business requirements through data preparation, model development, deployment, and monitoring.
- Design scalable, reliable, high-performance, and secure machine learning pipelines and MLOps solutions using AWS services.
- Advise customers on AI/ML, GenAI, cloud architectures, migration strategies, industry trends, and best practices.
- Collaborate with Applied Science, DevOps, Data Engineering, Cloud Infrastructure, and Applications teams to operationalize data and models.
- Lead customer implementations, optimize performance, manage risks, and ensure adherence to industry standards.
- Share knowledge through mentoring, training, publications, and reusable technical artifacts.
Requirements
- At least 3 years of software development or scripting-language experience.
- At least 3 years of experience building machine learning and generative AI models for business applications.
- Experience with cloud services related to machine learning, such as Amazon SageMaker.
- Knowledge of AWS compute, storage, networking, security, database, machine learning, and serverless services.
- Knowledge of SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch, and AWS certifications is preferred.
- At least 2 years of experience designing, deploying, and evaluating AI agents and orchestration approaches is preferred.
- Experience with LangChain, LangGraph, LlamaIndex, or similar open-source frameworks is preferred.
- At least 3 years of deep learning, computer vision, human-robotic interaction, or algorithm implementation experience using PyTorch or TensorFlow is preferred.
- Experience with ML pipelines, data preprocessing, distributed and GPU training, model deployment, monitoring, retraining, containers, and CI/CD pipelines is preferred.
- Healthcare and life sciences domain expertise is preferred.
Benefits
- Amazon offers health, dental, vision, prescription, life and AD&D insurance, employee assistance and mental health support, medical advice services, flexible spending accounts, adoption and surrogacy reimbursement, 401(k) matching, paid time off, and parental leave.
- The role offers mentorship, knowledge-sharing, career-development resources, and a flexible work-life culture.
- Customer-site travel may be required as needed.
About Amazon
Amazon builds and operates a global e-commerce marketplace, logistics network, and consumer devices, and provides cloud computing via AWS for businesses and developers. The company earns revenue from online retail, third‑party seller services, subscriptions like Prime, advertising, and AWS usage. Founded in 1994 and headquartered in Seattle, it is publicly traded on NASDAQ (AMZN) and serves customers in dozens of countries.