Software Engineer

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. Related Jobs Developer/Software Engineer TEKsystems

Kissimmee, FL*Remote

gRPC 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) +0

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.

We’re partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That’s the power of true partnership. TEKsystems is an Allegis Group company., Were a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. Were a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. Were strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. Were building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.