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# Software Engineer (Machine Learning)

- **Company:** Everforth Apex
- **Location:** Orlando, FL, United States
- **Experience:** Expert
- **Contract:** Temporary to permanent
- **Skills:** Java (Programming Language), Amazon Web Services, Computer Vision, Big Data, Ubuntu (Operating System), Cloud Computing, Code Review, Computer Programming, Data Infrastructure, Data Integration, Linux, Distributed Systems, Monitoring of Systems, Python (Programming Language), Machine Learning, Object Detection, Performance Tuning, Redis, Tensorflow, Software Engineering, Software Systems, Data Streaming, Data Processing, Cloud Platform System, Data Ingestion, Pytorch, Event Driven Architecture, Containerization, Kubernetes, Low Latency, Apache Kafka, Machine Learning Operations, Video Streaming, Stream Processing, Data Pipelines, Docker
- **Published:** October 9, 2026
- **Apply:** https://www.dice.com/job-detail/269dd4f7-d9bb-40a9-ae22-0ed0d89be6ba

## About the Role

* 3+ years of professional experience in software engineering, with a focus on machine learning systems or data-intensive applications
 * Strong programming experience in Python, with hands-on use of ML frameworks such as PyTorch
 * Experience building and deploying distributed, production ML systems
 * Proven experience with real-time or streaming data pipelines
 * Strong understanding of event-driven architecture and system design for scalability and reliability
 * Experience with containerization and orchestration technologies (e.g., Docker, Kubernetes)
 * Hands-on experience deploying ML models in cloud environments (e.g., AWS, including SageMaker)
 * Experience with messaging/streaming technologies such as Kafka, Kinesis, or Redis
 * Familiarity with Linux/Ubuntu environments for development and deployment
 * Understanding of system observability, monitoring, and performance tuning

Preferred Qualifications

 * Experience working with computer vision models (e.g., object detection, segmentation, classification)
 * Familiarity with modern CV architectures and frameworks (e.g., YOLO, SAM, VLMs or similar)
 * Experience building MLOps pipelines and automating the ML lifecycle
 * Experience with high-throughput or low-latency systems
 * Experience handling sensitive or regulated data environments
 * Additional experience with Java-based services

Technical Environment

 * Languages: Python (primary), Java (preferred)
 * Frameworks/Tools: PyTorch, ML frameworks
 * Cloud: AWS (including SageMaker)
 * Containerization: Docker, Kubernetes
 * Architecture: Distributed systems, streaming pipelines, event-driven systems
 * Operating Systems: Linux / Ubuntu, * You are a hands-on software engineer with deep interest or expertise in machine learning systems, particularly in computer vision and real-time data processing. You enjoy working at scale, solving complex technical challenges, and building production-ready ML solutions that deliver measurable impact.

## Description

* Design, build, and maintain machine learning pipelines including data ingestion, model training, evaluation, and deployment
 * Develop and optimize real-time or streaming data pipelines for high-throughput systems
 * Deploy and support computer vision models in scalable production environments
 * Collaborate with cross-functional teams to integrate ML models into distributed software systems
 * Build and maintain model monitoring, evaluation, and performance optimization frameworks
 * Design systems that are scalable, observable, and resilient in cloud-based environments
 * Contribute to event-driven architectures and downstream data integration
 * Optimize system performance across the full stack, including compute, memory, and data processing layers
 * Participate in code reviews, testing, and ongoing system enhancements