2 months ago
Base Salary
$154k - $229k/yr
Responsibilities
- Lead project teams and implement end-to-end AI/ML and GenAI projects from business needs through data preparation, model development, deployment, and monitoring.
- Design and implement high-performance, reliable, scalable, and secure machine learning pipelines.
- Design scalable ML solutions and MLOps operations using AWS services and GenAI solutions where applicable.
- Collaborate with Applied Science, DevOps, Data Engineering, Cloud Infrastructure, and Applications teams to operationalize data and AI/ML models.
- Advise customers on AI/ML, GenAI, cloud architectures, industry trends, and AWS adoption strategies.
- Lead implementation processes, ensure best practices and industry standards, optimize performance, and manage project risks.
- Share organizational knowledge through mentoring, training, publications, and reusable artifacts.
Requirements
- Bachelor’s degree in business administration, finance, economics, computer science, data science, engineering, or a related field.
- 8+ years of experience building machine learning models or developing algorithms for business applications.
- 5+ years leading technical teams and hands-on experience in data, software, or ML engineering, including distributed computing concepts such as data pipelines, training and inference, and ML infrastructure design.
- Preferred experience with Terraform, Python, CloudFormation, CDK, containers, and CI/CD pipelines.
- Preferred experience building MLOps pipelines involving data preprocessing, model hosting, feature selection, hyperparameter tuning, distributed and GPU training, deployment, monitoring, and retraining.
- Preferred experience with MLFlow, Kubeflow, Airflow, AWS Step Functions, LLMs, vector stores, LangChain, and prompt engineering.
Benefits
- Comprehensive medical, dental, vision, prescription, life, AD&D, employee assistance, mental health support, medical advice line, flexible spending account, adoption, and surrogacy reimbursement benefits.
- 401(k) matching, paid time off, and parental leave.
- Sign-on payments and restricted stock units may be included in the overall Amazon package.
- Mentorship, knowledge-sharing, career-growth resources, inclusive affinity groups, and work-life flexibility are offered.
- Customer-facing role with potential travel to customer sites as needed.
- Available locations include Atlanta, Chicago, Jersey City, New York, Austin, Dallas, and Arlington.
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.