AWS Gen AI / ML Engineer - Plano, TX
$48,000–$168,000 year
On-site · Plano, Texas, United States
Job Summary
The role involves designing, deploying, optimizing AWS cloud-native machine-learning systems, integrating foundation models for generative AI capabilities, and optimizing existing ML frameworks. Key responsibilities include transforming prototypes into secure AWS services, running automated experiments, monitoring model performance, and maintaining optimized data pipelines. Candidates should possess expertise in AWS SDK, SageMaker, ML theory, DevOps practices, and programming skills in Java and Python. A bachelor’s degree in a related field and relevant experience in ML engineering or cloud roles are essential.
Required Qualifications
- Deep ML expertise with hands-on AWS engineering
- Strong grasp of probability, statistics, and algorithms
- Solid understanding of data structures, modeling, and software architecture.
- Impeccable analytical and problem-solving ability
- Excellent time-management, organizational, and documentation skills
- Growth mindset and passion for continuous learning
Desired Qualifications
- 10+ years of Software Experience
- 3+ years in an ML-engineering or cloud-ML role (AWS focus)
- Proficient in Python (core), with working knowledge of Java or R
- Outstanding communication and collaboration skills; able to explain complex topics to non-technical peers
- Proven record of shipping production ML systems or contributing to OSS ML projects
- AWS Certified Machine Learning – Specialty and/or AWS Solutions Architect – Associate a strong plus
Additional Requirements
- No applications will be considered if received more than 120 days after the date of this post
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