More jobs:
Sr Software Engineer; Python, ML
Job in
Orlando, Orange County, Florida, 32801, USA
Listed on 2026-06-07
Listing for:
Stratacuity
Full Time, Contract
position Listed on 2026-06-07
Job specializations:
-
Software Development
Machine Learning/ ML Engineer, AI Engineer
Job Description & How to Apply Below
Job#: 3036939
Job Description:
Apex Systems, a World-Class Technology Solutions Provider, is seeking applicants for the below position on behalf of our client. Please apply if interested and qualified. Please note that only qualified candidates will be contacted.
Position:
Senior Software Engineer (Machine Learning)
Location:
Orlando, FL (Hybrid - 4 days onsite)
Duration: 9-12 month contract (with potential for extension or conversion to full time hire)
Overview
We are seeking a Senior Software Engineer to join a high-impact engineering team focused on building scalable machine learning and computer vision solutions within a global, distributed environment.
This role will contribute to the development of real-time, production-grade ML systems, supporting applications that operate at scale across both edge and cloud environments. You will work across the full lifecycle of machine learning systems-from model development and training to deployment, monitoring, and optimization-while integrating these systems into robust, production-ready services.
Key Responsibilities
* 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
Required Qualifications
* 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 Py Torch
* 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 Sage Maker)
* 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 Sage Maker)
* Containerization:
Docker, Kubernetes
* Architecture:
Distributed systems, streaming pipelines, event-driven systems
* Operating Systems:
Linux / Ubuntu
What Sets This Role Apart
* Opportunity to work on cutting-edge machine learning and computer vision applications at scale
* Exposure to real-time systems and high-performance distributed architectures
* End-to-end ownership across ML model lifecycle and production deployment
* Collaborative environment focused on solving complex, high-impact engineering challenges
Ideal Candidate Profile
* 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…
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