<p>We are looking for an experienced Artificial Intelligence (AI) Engineer to design and implement innovative AI-driven solutions that enhance business operations and decision-making processes. In this contract position, you will play a pivotal part in developing scalable, secure, and cutting-edge systems that integrate AI with automation technologies. This role offers an exciting opportunity to work at the forefront of artificial intelligence.</p><p><br></p><p>Responsibilities:</p><p>• Design and develop AI-powered systems that incorporate generative AI, intelligent automation, and agent-based architectures.</p><p>• Build automation ecosystems using advanced machine learning models, large language models, and modern automation platforms.</p><p>• Research and integrate emerging AI technologies, including orchestration frameworks, autonomous agents, and AI security measures.</p><p>• Establish reusable patterns, APIs, and standards to enable scalable AI integrations across the enterprise.</p><p>• Oversee projects from initial experimentation to production deployment, ensuring they meet performance, reliability, and business impact goals.</p><p>• Collaborate with business and technology teams to align AI and automation solutions with organizational priorities.</p><p>• Implement robust governance, security, and ethical AI principles in all solutions to ensure compliance and responsible use.</p><p>• Provide expert guidance and mentorship on AI tools, optimization strategies, and automation best practices to team members.</p><p>• Conduct reviews of AI and automation implementations to ensure long-term sustainability and operational effectiveness.</p><p>• Stay updated on the latest AI trends and methodologies, sharing insights to inspire innovation across the organization.</p>
We are looking for a highly experienced Senior Machine Learning Engineer to join our team in Boston, Massachusetts. In this role, you will design, develop, and deploy cutting-edge machine learning systems that solve complex problems and scale effectively in production environments. This position offers an exciting opportunity to contribute to impactful projects, leveraging your expertise in machine learning, cloud infrastructure, and data engineering.<br><br>Responsibilities:<br>• Build and deploy machine learning models and solutions for production environments, ensuring they meet scalability and performance standards.<br>• Design and implement comprehensive ML pipelines, including data ingestion, feature engineering, model training, evaluation, and serving.<br>• Write clean, efficient code in Python and leverage its ML ecosystem, such as TensorFlow, PyTorch, and scikit-learn.<br>• Work with large datasets to extract meaningful insights and develop complex queries using modern data processing tools.<br>• Utilize containerization technologies like Docker and cloud platforms such as AWS to ensure robust and scalable deployment.<br>• Apply MLOps best practices, including CI/CD pipelines, automated testing, and performance monitoring, to maintain reliable machine learning systems.<br>• Conduct research and apply deep machine learning and AI techniques, including statistical modeling and large language models.<br>• Solve complex analytical problems with pragmatic engineering approaches while maintaining scientific rigor.<br>• Collaborate with cross-functional teams to align machine learning solutions with business goals and mission-driven objectives.<br>• Monitor and address issues like data drift and model performance to ensure continuous improvement and reliability.
<p>As our portfolio of AI-driven solutions continues to expand, we’re looking for an experienced <strong>Machine Learning Engineer</strong> to join our high-impact data science team. This role offers the opportunity to work across trading, operations, and support functions—delivering production-grade machine learning systems that solve real business problems.</p><p>You’ll collaborate with data scientists, software engineers, and commercial stakeholders to design, build, and deploy models that drive decision-making and innovation. From project scoping to model deployment, you’ll have visibility and influence across the full ML lifecycle.</p><p>🔧 Core Responsibilities</p><ul><li>Act as a thought partner to commercial teams, identifying high-value opportunities for AI/ML applications</li><li>Lead the design, development, and deployment of machine learning systems, with a focus on <strong>NLP</strong>, <strong>LLMs</strong>, and <strong>Generative AI</strong></li><li>Prioritize projects based on business impact and evolving market conditions</li><li>Collaborate with cross-functional teams to gather requirements and align solutions with strategic goals</li><li>Integrate ML solutions—including GenAI—into existing platforms to ensure seamless user experiences and scalable adoption</li><li>Participate in code reviews, experiment design, and tooling decisions to maintain high engineering standards</li><li>Share knowledge and mentor colleagues to build machine learning fluency across the organization</li></ul><p><br></p>
<p>We are seeking a Cloud Engineer to support the design, deployment, and maintenance of cloud infrastructure across our environments. This role focuses on building reliable, secure, and scalable cloud solutions while assisting development and IT teams with day‑to‑day cloud operations.</p><p><strong>Responsibilities</strong></p><ul><li>Deploy, configure, and manage cloud resources in AWS/Azure/GCP.</li><li>Maintain CI/CD pipelines and automate infrastructure tasks using tools such as Terraform, CloudFormation, or similar.</li><li>Monitor system performance, reliability, cost, and security posture across cloud workloads.</li><li>Support containerized applications (Docker/Kubernetes) and troubleshoot environment issues.</li><li>Implement cloud security best practices, including IAM, logging, patching, and network controls.</li><li>Assist with incident response, cloud migrations, and environment optimization.</li><li>Collaborate with engineering and IT teams to support application deployments and cloud operations.</li></ul><p><br></p>
<p>Senior Cloud Engineer</p><p><strong>Location:</strong> Brickell, Miami, FL</p><p><strong>Work Model:</strong> Hybrid – 3 days onsite per week</p><p>Role Overview</p><p>The Senior Cloud Engineer designs, implements, and supports scalable, secure, and highly available cloud infrastructure. This role partners closely with Architecture, Security, DevOps, and Application teams to deliver modern cloud solutions while ensuring reliability, performance, and cost efficiency. The ideal candidate brings deep hands‑on cloud experience and strong problem‑solving skills in production environments.</p><p>Key Responsibilities</p><ul><li>Design, build, and maintain cloud infrastructure using best practices for security, scalability, and resiliency</li><li>Lead deployment and optimization of cloud services across compute, storage, networking, and identity</li><li>Implement and manage infrastructure as code (IaC) using tools such as Terraform, ARM, or CloudFormation</li><li>Support CI/CD pipelines and DevOps workflows in collaboration with engineering teams</li><li>Monitor cloud environments, troubleshoot performance issues, and ensure high availability</li><li>Partner with Information Security to implement identity, access management, logging, and compliance controls</li><li>Optimize cloud costs through capacity planning, automation, and usage analysis</li><li>Support cloud migrations from on‑premises or legacy environments</li><li>Create and maintain technical documentation, runbooks, and architectural diagrams</li><li>Mentor junior engineers and provide technical leadership on cloud initiatives</li></ul><p><br></p>
<p>The DevOps Engineer will design, build, and maintain secure, scalable, and highly available cloud infrastructure while accelerating delivery of features through automation, CI/CD, and observability. You’ll be a force multiplier for engineering teams, ensuring systems are fast, resilient, and easy to operate.</p><p> </p><p>Key Responsibilities:</p><ul><li>Build, expand, and optimize cloud infrastructure (AWS, GCP, or Azure) using Infrastructure as Code (Terraform, Pulumi, CloudFormation, CDK)</li><li>Design and implement CI/CD pipelines that enable multiple daily deployments with zero downtime (GitHub Actions, GitLab CI, ArgoCD, Jenkins, CircleCI)</li><li>Automate everything: configuration management (Ansible, Chef, Puppet), application deployments, self-healing systems, and security hardening</li><li>Own production reliability: monitoring, alerting, log management, and on-call response (Datadog, Prometheus+Grafana, New Relic, PagerDuty, Opsgenie)</li><li>Drive progressive delivery practices: blue-green, canary, feature flags, and rollback strategies</li><li>Perform capacity planning, cost optimization, and performance tuning across compute, storage, and networking</li><li>Collaborate in project planning to evaluate technical feasibility, risks, and delivery trade-offs</li><li>Harden systems and pipelines for security and compliance (IAM, Vault, Trivy, Snyk, OPA/Gatekeeper)</li><li>Document architectures, runbooks, and processes while mentoring engineers on DevOps best practices</li></ul><p><br></p>
<p>We are seeking a Cloud Engineer to support the design, deployment, and maintenance of cloud infrastructure across our environments. This role focuses on building reliable, secure, and scalable cloud solutions while assisting development and IT teams with day‑to‑day cloud operations.</p><p><strong>Responsibilities</strong></p><ul><li>Deploy, configure, and manage cloud resources in AWS/Azure/GCP.</li><li>Maintain CI/CD pipelines and automate infrastructure tasks using tools such as Terraform, CloudFormation, or similar.</li><li>Monitor system performance, reliability, cost, and security posture across cloud workloads.</li><li>Support containerized applications (Docker/Kubernetes) and troubleshoot environment issues.</li><li>Implement cloud security best practices, including IAM, logging, patching, and network controls.</li><li>Assist with incident response, cloud migrations, and environment optimization.</li><li>Collaborate with engineering and IT teams to support application deployments and cloud operations.</li></ul><p><br></p>
<p>We are seeking a Cloud Engineer to support the design, deployment, and maintenance of cloud infrastructure across our environments. This role focuses on building reliable, secure, and scalable cloud solutions while assisting development and IT teams with day‑to‑day cloud operations.</p><p><strong>Responsibilities</strong></p><ul><li>Deploy, configure, and manage cloud resources in AWS/Azure/GCP.</li><li>Maintain CI/CD pipelines and automate infrastructure tasks using tools such as Terraform, CloudFormation, or similar.</li><li>Monitor system performance, reliability, cost, and security posture across cloud workloads.</li><li>Support containerized applications (Docker/Kubernetes) and troubleshoot environment issues.</li><li>Implement cloud security best practices, including IAM, logging, patching, and network controls.</li><li>Assist with incident response, cloud migrations, and environment optimization.</li><li>Collaborate with engineering and IT teams to support application deployments and cloud operations.</li></ul><p><br></p>
<p><strong>Cloud Engineer</strong></p><p>We are seeking a talented <strong>Cloud Engineer</strong> to join our infrastructure team. This role is ideal for someone who enjoys building cloud-based solutions, optimizing deployments, and supporting scalable, secure environments. The ideal candidate will have strong problem-solving abilities, excellent communication skills, and a solid foundation in cloud architecture with room to grow into more advanced engineering responsibilities.</p><p><strong>Responsibilities</strong></p><ul><li>Deploy, configure, and manage cloud resources across Azure, AWS, and/or GCP</li><li>Implement cloud security controls including IAM/RBAC permissions, encryption, policies, and MFA</li><li>Build and maintain Infrastructure-as-Code templates using Terraform, ARM/Bicep, or CloudFormation</li><li>Support CI/CD pipelines and automated deployments for application and infrastructure releases</li><li>Monitor cloud performance, availability, cost usage, and alerts using native tools</li><li>Troubleshoot cloud networking issues including firewalls, VNETs/VPCs, routing, gateways, and load balancers</li><li>Support containerized workloads using Docker and Kubernetes</li><li>Collaborate with developers, DevOps teams, and systems administrators on cloud projects</li><li>Document cloud architectures, procedures, and operational guidelines</li><li>Assist with cloud migrations, modernization initiatives, and optimization efforts</li></ul><p><br></p>
<p>We are looking for a Cloud Engineer to join our team in Fort Myers/Naples area in Florida. This is a contract to permanent position, fully onsite Monday to Friday.</p><p><br></p><p>Responsibilities:</p><ul><li>Review and design both high-level and detailed architecture.</li><li>Understand HERC business needs and identify necessary improvements in the AWS architecture to align with the AWS Well-Architected Framework and best practices.</li><li>Design, implement, and manage scalable, secure, and reliable cloud infrastructure on AWS.</li><li>Protect information, systems, and assets while delivering business value by advising best practices for the creation of a secure cloud environment.</li><li>Ensure that AWS architecture aligns with business needs and monitor performance for effective use of AWS resources.</li><li>Evaluate AWS products and services for impact on architecture and recommend adoption as necessary.</li><li>Advise application teams on deployment options and oversee provisioning of AWS architecture components.</li><li>Ensure development teams follow best practices and architectural standards.</li><li>Monitor and optimize cloud resources for performance, cost, and security</li></ul>
<p>We are seeking a Cloud Engineer to support the design, deployment, and maintenance of cloud infrastructure across our environments. This role focuses on building reliable, secure, and scalable cloud solutions while assisting development and IT teams with day‑to‑day cloud operations.</p><p><strong>Responsibilities</strong></p><ul><li>Deploy, configure, and manage cloud resources in AWS/Azure/GCP.</li><li>Maintain CI/CD pipelines and automate infrastructure tasks using tools such as Terraform, CloudFormation, or similar.</li><li>Monitor system performance, reliability, cost, and security posture across cloud workloads.</li><li>Support containerized applications (Docker/Kubernetes) and troubleshoot environment issues.</li><li>Implement cloud security best practices, including IAM, logging, patching, and network controls.</li><li>Assist with incident response, cloud migrations, and environment optimization.</li><li>Collaborate with engineering and IT teams to support application deployments and cloud operations.</li></ul><p><br></p>
<p>Looking for a Cloud Engineer to design, implement, and support Azure-based infrastructure.</p><p><strong>Responsibilities</strong></p><ul><li>Build and maintain Azure cloud environments</li><li>Implement CI/CD pipelines</li><li>Manage infrastructure as code (Terraform)</li><li>Monitor performance and optimize systems</li></ul><p><br></p>
We are looking for a Cloud Engineer to support and strengthen a secure, resilient, and scalable cloud environment in Madison, Connecticut. This position focuses on building and maintaining infrastructure that supports operational reliability, strong performance, and regulatory alignment. The ideal candidate brings hands-on cloud engineering experience, a proactive approach to automation, and the ability to work effectively with technical teams across the organization.<br><br>Responsibilities:<br>• Architect, deploy, and support cloud infrastructure solutions that emphasize security, availability, and long-term scalability.<br>• Administer core shared platform services and ensure stable day-to-day operation of cloud-based systems and resources.<br>• Configure and manage cloud components across compute, storage, and network layers to meet business and technical requirements.<br>• Develop and enhance automation for infrastructure provisioning and configuration management using tools such as Python, Terraform, Ansible, and cloud-native services.<br>• Create and maintain standardized machine images by using image-building tools and configuration frameworks to improve consistency and governance.<br>• Track infrastructure health and performance, investigate service disruptions, and resolve issues through effective troubleshooting and root cause analysis.<br>• Evaluate emerging cloud capabilities and provide technical recommendations on services that could improve performance, security, or efficiency.<br>• Maintain patching practices for both Linux and Windows environments to help protect systems and preserve operational stability.<br>• Partner with infrastructure and application teams to integrate cloud platforms with existing systems and support automated deployment pipelines.
<p>We are looking for an experienced Cloud Engineer to support and enhance a highly available cloud environment. This role focuses on strengthening infrastructure reliability, improving observability, and advancing automation across core AWS services. The ideal candidate brings deep hands-on expertise in cloud operations, disaster recovery planning, and DevOps practices, along with the ability to work effectively with engineering and security partners.</p><p><br></p><p>Responsibilities:</p><p>• Manage and improve cloud infrastructure components such as VPCs, DNS services, content delivery layers, load balancers, and compute resources to support secure and reliable operations.</p><p>• Build and maintain resilient architecture strategies across availability zones, including automated disaster recovery solutions and regular validation of recovery readiness.</p><p>• Respond to operational incidents by investigating issues, identifying root causes, and driving corrective actions that reduce recurrence and improve service stability.</p><p>• Establish and refine monitoring and observability capabilities using tools such as CloudWatch and Datadog, with a focus on logging, alerting, metrics, and trend analysis.</p><p>• Analyze infrastructure performance, capacity, and cost patterns to recommend and implement improvements that enhance scalability and efficiency.</p><p>• Create and support infrastructure-as-code solutions using tools such as Terraform or CloudFormation to standardize provisioning and configuration management.</p><p>• Strengthen deployment processes by developing and optimizing CI/CD workflows with platforms such as Harness, GitHub Actions, or similar pipeline tools.</p><p>• Maintain clear technical documentation covering architecture decisions, operational procedures, and environment configurations for ongoing team alignment.</p><p>• Partner with developers, system administrators, and security stakeholders to ensure cloud platforms meet operational, compliance, and business continuity need. </p>
We are looking for a skilled Power BI / SQL Developer to join our team on a contract basis in Sanford, Florida. This role focuses on designing and implementing effective business intelligence solutions to support operational and compliance needs within a manufacturing environment. The ideal candidate will have expertise in Power BI, SQL, and data modeling, with the ability to create dashboards and reporting tools that empower the team for long-term self-sufficiency.<br><br>Responsibilities:<br>• Develop and implement Power BI data models and structures to support business intelligence needs.<br>• Integrate data from Pentagon and other systems to ensure a unified and real-time reporting environment.<br>• Create dashboards and reports, including labor utilization and performance metrics.<br>• Collaborate with stakeholders to design solutions that align with compliance and operational requirements.<br>• Train the manager and other team members on the use of Power BI tools and reporting functionalities.<br>• Ensure data solutions are scalable and maintainable for long-term use.<br>• Work onsite to analyze existing systems and provide tailored solutions.<br>• Troubleshoot and optimize data integration processes.<br>• Document processes and best practices for future reference.<br>• Maintain clear communication with team members and stakeholders throughout the project.