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Job DescriptionPurpose & Need Patel, Greene and Associates (PGA) is seeking a licensed Senior Traffic & ITS Engineer to lead the delivery of transportation projects for our Traffic & ITS team. The role is available in any of our offices. In this role, you will oversee the technical delivery of multiple traffic and intelligent transportation systems (ITS) projects, direct group resources, and play a key role in the growth and strategic planning of PGA’s Traffic & ITS discipline. As a senior team member, you will lead marketing and proposal efforts, provide quality control reviews, mentor junior staff, and facilitate internal training initiatives. This position offers opportunities for growth, continuous learning, and career advancement within a team-driven, mission-focused firm What You’ll Do • Maintain responsible charge over multiple traffic-ITS projects, • Lead marketing efforts for the traffic-ITS discipline (preparation of Letter of Response and other Technical Proposals), • Direct traffic-ITS Group resources to produce a quality product, • Provide quality control reviews when necessary, • Assist in the strategy planning and growth of the PGA Traffic-ITS Group, • Requires no technical supervision, • Complete tasks and projects within established supervisor’s expectationsWhat You’ll Need, • Registered Professional Engineer (PE), • 10 – 20 years of progressively more complex post-registration engineering experience., • Bachelor's Degree or Equivalent from an ABET Accredited University, majoring in Civil or Environmental EngineeringWhat You’ll Bring, • Excellent verbal communications skills and the ability to interact with a variety of clients, • Ability to direct and mentor younger staff, • Ability to lead internal training programs, • Excellent attention to detail and outstanding organizational skills, • Must be able to effectively prioritize and assign work and meet deadlines, • Excellent ability to perform multiple tasks in an organized manner and concurrently at the direction of PGA’s Leadership Team, • Demonstrate leadership qualities in all aspects while continuing to produce at a high level, • Ability to work independently and as part of a team on deadline-driven activities, • Skill in working with Word, PowerPoint, Excel, Outlook, and other Office Products, • Ability to work with across other disciplines (roadway, structures and drainage, landscape, etc.) to identify and reduce design conflicts. Working Conditions, • The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job., • While performing the duties of this job including working on a computer, the employee is regularly required to sit for prolonged periods at a desk; use hands, handle, or feel, talk, and hear., • The employee is frequently required to stand and walk., • The employee must be able to access and navigate each department at the organization’s facilities., • While performing the duties of this job, the employee is occasionally exposed to outside weather conditions., • Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. If you meet some of the listed criteria but not all, we still encourage you to apply. You might be a good fit for another role we have available! If you'd like to review our company's benefits, please click - Benefits | PGA

Job Description 1. Scope of Servies The Florida Department of Transportation, Office of Information Technology (OIT) - Integration Services is in search of a Senior Network Engineer to play a key role in assisting the Office of Information Technology in the establishment of new integration methods and standards, along with implementing system integrations, according to those established methods and standards. Duties and Responsibilities will include but are not limited to: 1. Perform security administration to configure and document firewall infrastructure access rules and work with peripheral network components in the technology environment with Palo Alto, Checkpoint and Global Protect VPNs. 1. Firewall deployments, rule migrations, firewall administration and converting existing rule based policies onto new platforms. 1. Works with critical core network infrastructure devices like Next Gen Firewall, VPNs, log collectors and monitors which play a crucial role in security for our IT environment. 1. Works with cloud network infrastructure to configure firewall, security policies and monitor network traffic. 1. Develop and maintain documentation following NIST guidelines. 1. Project Manager; 1. Data Administration; 5 Education Bachelor’s Degree in Computer Science, Information Systems or other related field. Or equivalent work experience. Preferred Certifications (PCNSE, CISSP, CCNP, CCIE) 1. Experience 1. Typically have 5 to 10 years of combined IT and security work experience with a broad range of exposure to systems analysis, applications development, database design and administration 1. Three to five years of experience with information security tools based on NIST standards. 1. Requires knowledge of security issues, techniques, and implications across all existing computer platforms. Preference given for experience with NGFW Palo Alto or Checkpoint security products. 1. Experience using schematic diagramming tools to map infrastructure layouts. 7 Primary Job Duties/ Tasks Senior Network Engineer – Job Duties 1. Develops, implements, and manages enterprise security solutions across multiple IT functional areas, including network infrastructure, data, systems, cloud environments, telecommunications, and Web-based services. Designs and maintains secure network architectures, segmentation strategies, access controls, firewalls, VPNs, encryption technologies, and other security controls. 1. Develops, implements, and maintains enterprise security policies, standards, procedures, and technical controls governing user authentication, privileged access, network access, security monitoring, vulnerability management, firewall administration, encryption, remote access, and incident escalation. Ensures security practices align with organizational requirements, industry standards, and applicable regulatory requirements. 1. Performs security risk assessments and develops risk-based response strategies for enterprise network and infrastructure environments. Prepares executive-level status reports, risk assessments, security metrics, and recommendations addressing vulnerabilities, emerging threats, security incidents, and operational risks. 1. Monitors, analyzes, and responds to cybersecurity threats and security events, including malware, software vulnerabilities, unauthorized access attempts, network anomalies, and policy violations. Administers and monitors security profiles and access controls, reviews security alerts and violation reports, investigates security exceptions, and coordinates remediation activities. Maintains comprehensive documentation of security controls, configurations, incidents, and corrective actions. 1. Evaluates emerging network and security technologies, products, and procedures to improve infrastructure reliability, security, performance, and operational efficiency. Leads technical evaluations, proof-of-concept activities, product assessments, and implementation recommendations for enterprise networking and cybersecurity solutions. 1. Provides advanced technical support and consultation to business and IT stakeholders on complex network, infrastructure, and cybersecurity issues. Troubleshoots escalated network and security incidents, provides technical guidance to infrastructure teams, and educates IT and business personnel on security policies, secure configurations, access requirements, and risk mitigation practices. 1. Provides security expertise and technical leadership throughout the IT project lifecycle, including requirements development, architecture and design, implementation, testing, deployment, and operational support. Reviews project designs and proposed solutions to identify security risks and ensures appropriate security controls are incorporated into network, cloud, application, and infrastructure initiatives. 1. Designs, implements, and supports enterprise network infrastructure, including LAN/WAN, routing and switching, wireless networks, firewalls, VPNs, network segmentation, Internet connectivity, cloud connectivity, and data center infrastructure. Develops network solutions that support high availability, resiliency, scalability, and security requirements. 1. Leads the investigation and resolution of complex network and security incidents, utilizing network monitoring, logging, packet analysis, performance data, and security tools to identify root causes and implement corrective actions. Coordinates with vendors, technical teams, and organizational stakeholders during critical incidents and service disruptions. 1. Develops network security architecture and segmentation strategies designed to limit lateral movement, protect critical systems, isolate sensitive workloads, and establish appropriate security boundaries between users, applications, devices, and infrastructure. Evaluates east-west and north-south traffic flows to identify security risks and opportunities for improved network controls. 1. Establishes and monitors network performance and security metrics to identify trends, capacity requirements, vulnerabilities, and potential operational risks. Develops dashboards, key performance indicators, and management reports to support data-driven infrastructure and security decisions. 1. Maintains technical documentation and configuration standards for network and security infrastructure, including network diagrams, IP addressing, VLANs, firewall rules, access controls, security configurations, operational procedures, and disaster recovery requirements. Ensures documentation remains accurate and aligned with the current enterprise environment. 1. Collaborates with architecture, cybersecurity, systems, database, application, cloud, telecommunications, and infrastructure teams to develop integrated technology solutions. Serves as a senior technical resource and provides guidance on enterprise networking, security architecture, infrastructure design, and technology modernization. 1. Provides technical leadership and mentoring to network and security staff, establishes network engineering standards and best practices, reviews technical solutions, and assists with the development of team capabilities in enterprise networking, cybersecurity, cloud infrastructure, and emerging technologies. Senior-Level Requirements Must have extensive knowledge and demonstrated experience in enterprise networking, cybersecurity, systems, databases, cloud infrastructure, and/or Web operations. The senior-level Network Engineer is responsible for developing and implementing enterprise network and security strategies, leading complex technical projects, designing secure and resilient infrastructure, resolving the most complex network and security issues, conducting risk assessments, evaluating emerging technologies, and providing technical guidance to IT and business leadership. The position requires advanced knowledge of network architecture, routing and switching, firewalls, VPN technologies, network segmentation, wireless infrastructure, cloud networking, identity and access management, security monitoring, incident response, vulnerability management, disaster recovery, and enterprise security controls. 8 Job Specific Skills and Abilities (KSAs): Intermediate professional level role. Works independently or on multiple IT security projects as a project team member, occasionally as a project leader. Works on small to large, complex security issues or projects that require increased skill in multiple IT functional areas. May coach more junior staff. 9 General Knowledge Skills and Abilities (KSAs): The submitted candidate must be able to apply common knowledge, skills, and abilities in the following areas: 1. Communication: Have the ability to clearly convey information, in both written and verbal formats, to individuals or groups in a wide variety of settings (i.e.; project team meetings, management presentations, etc.). Must have the ability to effectively listen and process information provided by others. 1. Customer Service: Works well with clients and customers (i.e.; business office, public, or other agencies). Able to assess the needs of the customer, provide information or assistance to satisfy expectations or resolve a problem. 1. Decision Making: Makes sound, well-informed, and objective decisions. 1. Flexibility: Is open to change, new processes (or process improvement), and new information. Has the ability to adapt in response to new information, changing conditions, or unexpected obstacles. Ability to receive and give constructive criticism, and maintain effective work relationships with others. 1. Interpersonal: Shows friendliness, courtesy, understanding, and politeness to others. 1. Leadership: Motivates, encourages, and challenges others. Is able to adapt leadership styles in a variety of situations. 1. Problem Solving: Able to identify, evaluate, and use sound judgement to generate and evaluate alternative actions, and make recommendations as accordingly. 1. Team Building: Encourages, inspires, and guides others toward accomplishing the common goal. 1. Quality Assurance: Knowledge of the ideologies, techniques and tools for quality assurance and control. The ability to put the ideologies, techniques, and tools into practice.

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Job Description AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE We are looking for a Senior Computer Vision Engineer to own applied model development across computer vision, machine learning, and data science use cases — building and deploying solutions for object detection, image segmentation, classification, and video analysis. You will evaluate and fine-tune model architectures using PyTorch and TensorFlow, build broader ML models for forecasting and anomaly detection, and apply practical knowledge of computer vision hardware including cameras, sensors, and edge devices. WHAT YOU WILL DO • Own the applied model development process across computer vision, AI/ML, and broader data science use cases;, • Translate complex business problems into viable, practical, and scalable AI/ML solutions;, • Evaluate various model options, train and fine-tune selected architectures, and rigorously analyze model performance;, • Develop and deploy solutions for object detection, image segmentation, image classification, and video analysis;, • Build and maintain models for time-series forecasting, anomaly detection, regression, clustering, and general data analysis;, • Apply practical knowledge of real-world constraints—such as lighting, sensor limitations, and edge device compute power—to ensure optimal data quality and robust model performance in production. MUST HAVES • You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;, • 3 to 5 years of professional experience in Computer Vision, Machine Learning, Data Science, or a related field;, • Degree in Computer Science, Engineering, Data Science, Mathematics, or a related discipline (or equivalent practical experience);, • Engineers located in the US must reside in Dallas, TX, and be open to working from the office (onsite);, • Strong, production-level proficiency in Python;, • Deep hands-on experience with PyTorch and/or TensorFlow;, • Proven track record of building and deploying models for detection, segmentation, classification, and image/video analysis;, • Solid understanding of broader ML and data science techniques (time-series modeling, forecasting, anomaly detection, regression, and clustering);, • Practical experience working with computer vision hardware, including cameras, sensors, and lighting setups;, • Familiarity with deploying models on edge devices;, • Strong understanding of how physical and real-world constraints impact data quality, model training, and inference;, • Upper-intermediate English level. PERKS AND BENEFITS • Professional growth: Mentorship, TechTalks, and personalized growth roadmaps., • Competitive compensation: USD-based pay with education, fitness, and team activity budgets., • Exciting projects: Modern solutions with Fortune 500 and top product companies., • Flextime: Flexible schedule with remote and office options.

Job Description AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE We are looking for a Middle/Senior MLOps Engineer to move computer vision models from experimentation into reliable production. The role combines ML infrastructure, GPU optimization, and deployment across cloud and edge environments. You will build reproducible pipelines, monitoring, and lifecycle controls for image and video workloads using Docker, Kubernetes, and CI/CD. WHAT YOU WILL DO • End-to-End Deployment: Own the complete lifecycle transition from AI/ML experimentation to reliable, high-performance production deployment., • Infrastructure & Pipelines: Build, maintain, and scale the infrastructure, automation, and CI/CD workflows necessary for rapid and efficient model deployment, including large-scale image/video data ingestion, dataset versioning, and managing manual/automated image annotation workflows., • System Stability & Monitoring: Implement robust production monitoring systems, build visibility dashboards, and set up data and concept drift detection to ensure ongoing model accuracy and system reliability., • Model Lifecycle Management: Manage experiment tracking and model versioning to ensure full reproducibility and traceability of all models in production., • Cross-Functional Collaboration: Partner closely with data scientists and AI researchers to translate experimental models into robust, production-ready solutions., • Resource & Cost Optimization: Manage cloud environments and GPU compute resources to ensure systems are not only highly scalable but also cost-effective, focusing on model optimization for heavy GPU workloads, including latency, throughput, batching, and GPU memory utilization., • Edge & Cloud Deployment: Deploy computer vision models to cloud environments and optimize them for Edge GPU deployment in specific use cases. MUST HAVES • You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;, • 3+ years of professional experience in MLOps, DevOps, Data Engineering, Machine Learning, or Software Engineering., • Degree in Computer Science, Software Engineering, or a related technical discipline (or equivalent practical experience)., • Engineers located in the US must reside in Dallas, TX, and be willing to work onsite., • Note: This role is strictly focused on Computer Vision and GPU engineering. Profiles heavily focused on LLMs, RAG pipelines, chatbots, or prompt engineering will not be a fit unless accompanied by solid, practical CV MLOps experience., • MLOps Core: Hands-on experience with experiment tracking, model registry/versioning, drift detection, and production monitoring., • Computer Vision: Strong hands-on experience in CV pipelines, including training computer vision models on GPUs, dataset management, and infrastructure monitoring specific to CV model quality/drift., • Infrastructure & Cloud: Strong practical experience navigating cloud environments and managing/provisioning GPU compute resources., • DevOps & Automation: Deep understanding of containerization (e.g., Docker, Kubernetes) and designing robust CI/CD pipelines for automated deployments., • AI/ML Foundation: A solid conceptual understanding of AI/ML fundamentals to effectively communicate, troubleshoot, and collaborate with applied model developers., • Upper-intermediate English level. PERKS AND BENEFITS • Professional growth: Accelerate your professional journey with mentorship, TechTalks, and personalized growth roadmaps., • Competitive compensation: We match your ever-growing skills, talent, and contributions with competitive USD-based compensation and budgets for education, fitness, and team activities., • A selection of exciting projects: Join projects with modern solutions development and top-tier clients that include Fortune 500 enterprises and leading product brands., • Flextime: Tailor your schedule for an optimal work-life balance, by having the options of working from home and going to the office – whatever makes you the happiest and most productive.

Job Description AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards. WHY JOIN US If you're looking for a place to grow, make an impact, and work with people who care, we'd love to meet you! ABOUT THE ROLE We are looking for a Junior/Middle Computer Vision Engineer to support high-volume execution across data preparation, model training, and evaluation for an AI team working with large-scale image and video datasets. You will curate and manage annotation workflows, run model training and evaluation jobs, maintain benchmarks, and collaborate with senior engineers on failure-case analysis. The role offers a a clear growth path into applied modeling or MLOps for an early-career engineer eager to build hands-on AI experience. WHAT YOU WILL DO • Curate large-scale image and video datasets, manage labeling processes and workflows, and ensure the highest standards for dataset quality;, • Run model training and evaluation jobs, ensuring experiments are executed smoothly and efficiently;, • Document training results, maintain ongoing evaluation benchmarks, and track model performance over time;, • Collaborate with senior engineers to analyze model failure cases and identify areas for data or algorithmic improvement;, • Take ownership of foundational tasks that support the broader team’s AI/ML lifecycle, directly contributing to the speed and success of production deployments. MUST HAVES • You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;, • 1 to 3 years of experience in software engineering, data science, machine learning, or a related field;, • Degree in Computer Science, Data Science, Engineering, Mathematics, or a related discipline (or equivalent practical experience);, • Engineers located in the US must reside in Dallas, TX, and be open to working from the office (onsite);, • Foundational coding skills in Python;, • Foundational understanding of machine learning concepts and workflows;, • Basic knowledge of computer vision principles (e.g., image processing, object detection basics);, • Basic familiarity with cloud environments and compute resources;, • A strong, demonstrable willingness to learn and adapt in a fast-paced, mentorship-driven environment;, • Excellent attention to detail, specifically regarding data quality and documentation;, • Upper-intermediate English level. PERKS AND BENEFITS • Professional growth: Mentorship, TechTalks, and personalized growth roadmaps., • Competitive compensation: USD-based pay with education, fitness, and team activity budgets., • Exciting projects: Modern solutions with Fortune 500 and top product companies., • Flextime: Flexible schedule with remote and office options.