> Markdown version of [/jobs/ext/4381040-senior-aws-engineer-ai-ml](https://www.wearedevelopers.com/jobs/ext/4381040-senior-aws-engineer-ai-ml). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior AWS Engineer - AI/ML

- **Company:** Diverse Lynx LLC
- **Location:** West Palm Beach, FL, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Computer Vision, Microsoft Azure, Big Data, Cloud Computing, Computer Programming, Computer Networks, Data Files, Domain Name System (DNS), Virtual Private Networks (VPN), Machine Learning, Natural Language Processing, Performance Tuning, Recommender Systems, Tensorflow, Software Engineering, TCP/IP, Scripting, Google Cloud, Load Balancing, Pytorch, Model Validation, Keras, Scikit Learn, Performance Monitor, Artificial Intelligence Markup Language (AIML), Docker
- **Published:** October 31, 2026
- **Apply:** https://www.careerbuilder.com/job-details/senior-aws-engineer-ai-ml-north-palm-beach-fl--70a1cbc6-6fbe-4062-9f3c-8d2b6852b514

## About the Role

Amazon Web Services (AWS), Artificial Intelligence (AI), Amazon Web Services (AWS), Performance Analysis, Production Systems, Environmental Monitoring, Analysis Skills, Data Sets, Software Development, Data Science, Strong knowledge of AWS core services.

Experience with cloud platforms such as AWS, Azure, or Google Cloud

Strong analytical and problem solving skills.

Nice to have skills

Deploy AIML models into production environments and monitor performance

Good troubleshooting and analytical skills

Detailed Job Description

Develop, train, test, and Eligible to workimize machine learning and deep learning models. Analyze large datasets to identify patterns, trends, and business insights. Design and implement AI solutions for predictive analytics, automation, recommendation systems, NLP, and computer vision applications. Build and maintain data pipelines for model training and deployment. Deploy AIML models into production environments and monitor performance. Collaborate with data scientists, software developers, and business stakeholders. Conduct model evaluation, tuning, and continuous improvement. Ensure data quality, security, and compliance with organizational standards. Research and implement emerging AIML technologies and best practices. Prepare technical documentation and present findings to stakeholders. Proficiency in Python programming. Experience with libraries frameworks such as TensorFlow PyTorch Scikit learn Keras

Minimum years of experience: 8-10 years

Top 3 responsibilities you would expect the Subcon to shoulder and execute

Knowledge of scripting

Understanding of networking concepts TCPIP, DNS, VPN, Load Balancer

Experience with Docker and Kubernetes