Senior Software Engineer (Machine Learning)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.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 ResponsibilitiesDesign, build, and maintain machine learning pipelines including data ingestion, model training, evaluation, and deploymentDevelop and optimize real-time or streaming data pipelines for high-throughput systemsDeploy and support computer vision models in scalable production environmentsCollaborate with cross-functional teams to integrate ML models into distributed software systemsBuild and maintain model monitoring, evaluation, and performance optimization frameworksDesign systems that are scalable, observable, and resilient in cloud-based environmentsContribute to event-driven architectures and downstream data integrationOptimize system performance across the full stack, including compute, memory, and data processing layersParticipate in code reviews, testing, and ongoing system enhancementsRequired Qualifications3+ years of professional experience in software engineering, with a focus on machine learning systems or data-intensive applicationsStrong programming experience in Python, with hands-on use of ML frameworks such as PyTorchExperience building and deploying distributed, production ML systemsProven experience with real-time or streaming data pipelinesStrong understanding of event-driven architecture and system design for scalability and reliabilityExperience 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 RedisFamiliarity with Linux/Ubuntu environments for development and deploymentUnderstanding of system observability, monitoring, and performance tuningPreferred QualificationsExperience 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 lifecycleExperience with high-throughput or low-latency systemsExperience handling sensitive or regulated data environmentsAdditional experience with Java-based servicesTechnical EnvironmentLanguages: Python (primary), Java (preferred)Frameworks/Tools: PyTorch, ML frameworksCloud: AWS (including SageMaker)Containerization: Docker, KubernetesArchitecture: Distributed systems, streaming pipelines, event-driven systemsOperating Systems: Linux / UbuntuWhat Sets This Role ApartOpportunity to work on cutting-edge machine learning and computer vision applications at scaleExposure to real-time systems and high-performance distributed architecturesEnd-to-end ownership across ML model lifecycle and production deploymentCollaborative environment focused on solving complex, high-impact engineering challengesIdeal Candidate ProfileYou 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.Contract employee benefits include health, dental, vision, life insurance; short term disability, hospitalization coverage, direct deposit, weekly pay periods, training and development programs, 401k, and referral program.Apex Systems is an equal opportunity employer. We do not discriminate or allow discrimination on the basis of race, color, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related medical conditions), age, sexual orientation, gender identity, national origin, ancestry, citizenship, genetic information, registered domestic partner status, marital status, disability, status as a crime victim, protected veteran status, political affiliation, union membership, or any other characteristic protected by law.
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