> Markdown version of [/jobs/ext/3727786-developer-software-engineer](https://www.wearedevelopers.com/jobs/ext/3727786-developer-software-engineer). 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). --- # Developer/Software Engineer - **Company:** TEKSYSTEMS INC. - **Location:** Kissimmee, FL, United States - **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, Delivery Pipeline, Deep Learning, Model Validation, Event Driven Architecture, Kubernetes, Apache Kafka, Machine Learning Operations, Multiaccess Edge Computing, Api Design, Stream Processing, Docker - **Published:** October 14, 2026 - **Apply:** https://www.techcareers.com/job.asp?id=3445716125&tx=FJ5552FFL&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## 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 ## Description 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