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# Software Engineer

- **Company:** CareerCircle
- **Location:** Kissimmee, FL, United States (Remote available)
- **Experience:** Expert
- **Salary:** $166,400.0 - $176,800.0
- **Contract:** Temporary contract
- **Skills:** Java (Programming Language), Artificial Intelligence, Amazon Web Services, Computer Vision, Ubuntu (Operating System), Cloud Computing, Software Code Optimization, Serialization, Python (Programming Language), Linux System Administration, Machine Learning, Message Broker, Object Detection, Performance Tuning, Redis, Software Engineering, Data Streaming, Real Time Systems, Pytorch, Autoscaling, Delivery Pipeline, Deep Learning, Model Validation, Event Driven Architecture, Kubernetes, Real Time Data, Apache Kafka, Machine Learning Operations, Multiaccess Edge Computing, Api Design, Stream Processing, Data Pipelines, Docker
- **Published:** October 13, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/fl/kissimmee/87bc08be-1461-4e5e-a502-40e9aac37950

## About the Role

automate the lifecycle of machine learning models. Design and implement robust training pipelines and deployment frameworks for machine learning (ML) systems and sophisticated production monitoring solutions in Kubernetes and Ubuntu-based environments. Perform advanced hyperparameter tuning and model optimization to meet accuracy, latency, and compute requirements. Build reusable tools for model evaluation and monitoring within an MLOps workflow. Deploy large-scale computer vision models, including YOLO, OWL, SAM, VLAs, and VLMs, optimizing for performance and efficiency. Strong familiarity with API design principles and hands-on experience building services with REST and/or gRPC. Stay current with the latest CV research (e.g., foundation models, prompt-based detection) and apply insights into model frameworks and deployments. Basic Qualifications: 3+ years of professional software engineering experience, with experience in distributed, production machine learning systems Expertise building
real-time or streaming data pipelines (event ingestion, aggregation, windowing, and emission) Expert-level proficiency in Python with experience in PyTorch Strong understanding of event-driven architecture, schema evolution, and downstream consumer integration Proven ability to design systems that are observable, resilient, and scalable Solid understanding of computer vision tasks: object detection, segmentation, classification. Strong hands-on experience with multiple of the following models: YOLO, OWL object detection, SAM, VLM, VLA Experience deploying models using Kubernetes, Docker, and AWS SageMaker. Demonstrated use of technologies like Kafka, Kinesis, Redis, or similar message brokers for use in real-time systems. Ability to optimize an entire system stack from network I/O and serialization to GPU utilization and autoscaling policies. Expertise in Ubuntu/Linux environments for ML/AI experimentation and deployment. Demonstrated success in performance optimization of large models.
Strongly Preferred Qualifications: Operating high-visibility systems with strict performance and reliability expectations Experience with stream processing frameworks or high-throughput messaging systems Building systems that handle sensitive or privacy-relevant data, with strong security and access controls Expert-level proficiency in Java

Skills

python, pytorch, software engineering, real-time streaming, streaming data pipelines, API design

Top Skills Details

python,pytorch,software engineering,real-time streaming,streaming data pipelines,API design, Individual compensation offered for this position within this range will depend on many factors, including qualifications, skills, relevant experience, job knowledge, geographic location, internal equity, and other pertinent job-related factors.

## Description

Redis
Research
Operations
Innovation
Resilience
Kubernetes
API Design
Scalability
Reliability
AWS Kinesis
Autoscaling
Apache Kafka
Deep Learning
Serialization
AWS SageMaker
Data Pipelines
Real Time Data
Problem Solving
Computer Vision
Machine Learning
Object Detection
Docker (Software)
Stream Processing
Business Valuation
Course Evaluations
Workflow Management
Software Engineering
Cloud Infrastructure
Full Stack Development
Artificial Intelligence
Business Transformation
Ubuntu (Operating System)
Event Driven Architecture
Java (Programming Language)
Hyperparameter Optimization
Python (Programming Language)
Software Development Life Cycle
PyTorch (Machine Learning Library)
MLOps (Machine Learning Operations), The Sr. Software Engineer will have responsibilities within the Disney Experiences (DXT) team that manages technical delivery for products within the Connected Products team across all DX. This person will be a cross-disciplinary engineer and problem solver who delivers projects and contributes to innovative new products. The Sr. Software Engineer will be contributing to a core platform with real-world impact, operating at scale, and solving technically hard problems that span edge systems, cloud infrastructure, and real-time data processing. Success in this role requires knowledge across various stages of the software development lifecycle infrastructure, services, and machine learning. This role blends hands-on deep learning expertise with infrastructure engineering to build scalable training, evaluation, and deployment pipelines for real-world computer vision applications. Job Description: Collaborate with cross-functional teams to integrate models into scalable production systems and, Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.
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