AI/ML Engineer

1 week ago

Houston, Texas, United States Resolve Tech Solutions Full time

Position Summary

The AI/ML Engineer (Bedrock) supports the Juno Labs team by developing, evaluating, and operationalizing AI-driven solutions for anomaly detection, alert summarization, and automated resolution recommendations. This role combines strong applied machine learning skills with hands-on experience in model deployment and productionization, leveraging AWS Bedrock, SageMaker, and other modern AI/ML frameworks.

The engineer will design and refine prompt-based workflows, implement classic and deep learning models, and collaborate closely with cloud, data, and security teams to ensure solutions are scalable, secure, and aligned with enterprise objectives.

Key Responsibilities

1) Develop and optimize prompt-based workflows for anomaly detection to identify irregular patterns in system performance and data flow

2) Design and implement summarization prompts to generate concise, actionable alert descriptions for operations teams

3) Build, evaluate, and fine-tune AI/ML models—including classic ML and neural architectures—to support anomaly detection and resolution recommendation use cases

4) Lead deployment and operationalization of AI/ML models into production environments, ensuring scalability, security, and performance monitoring

5) Utilize platforms such as AWS SageMaker, TensorFlow, and PyTorch for model training, inference, and lifecycle management

6) Apply Scikit-Learn for traditional machine learning methods, including gradient boosting decision trees (GBDT, XGBoost), and compare model performance across techniques

7) Collaborate with CloudOps, DataOps, and Security teams to integrate AI-driven workflows into enterprise monitoring and incident response pipelines

8) Validate and continuously evaluate model performance, maintaining accuracy, reliability, and compliance with data governance standards

9) Monitor real-time operational data streams to refine detection thresholds and enhance anomaly identification over time

10) Document architecture, data flows, and best practices to support reproducibility and continuous improvement

11) Experiment with new features and capabilities in AWS Bedrock and related LLM-based frameworks to enhance prompt engineering and workflow automation

12) Ensure adherence to RTS security, compliance, and quality standards throughout the development and deployment lifecycle

13) Other duties as assigned

Qualifications


• Bachelor's degree in Computer Science, Information Technology, or related field, or equivalent experience


• 3+ years of experience in AI/ML engineering or applied machine learning roles


• Hands-on experience with AWS Bedrock and SageMaker or equivalent LLM/AI platforms


• Proficiency with TensorFlow or PyTorch for deep learning model development


• Experience with Scikit-Learn and GBDT/XGBoost for traditional ML tasks


• Strong understanding of model evaluation, deployment, and operationalization best practices


• Familiarity with anomaly detection, summarization, and recommendation system design


• Experience integrating AI solutions into DevOps, CloudOps, or monitoring pipelines


• Excellent collaboration, problem-solving, and documentation skills


• Alignment with RTS Core Values

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