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Maes Solutions is actively recruiting highly skilled AWS DevOps Engineer to design, implement, and manage scalable, secure, and highly available cloud infrastructure. The ideal candidate will have strong experience in AWS services, CI/CD pipelines, infrastructure as code, and containerized environments. Role: AWS DevOps Engineer Location: New jersey & Texas (5 days onsite) Experience: 10+ Years Employment Type: Fulltime About the job We are seeking a highly skilled AWS DevOps Engineer to design, implement, and manage scalable, secure, and highly available cloud infrastructure. The ideal candidate will have strong experience in AWS services, CI/CD pipelines, infrastructure as code, and containerized environments. Key Responsibilities Design, build, and maintain scalable infrastructure on AWS Implement and manage CI/CD pipelines using tools like Jenkins, GitLab CI, or Azure DevOps Automate infrastructure provisioning using Terraform, CloudFormation, or similar tools Manage containerized applications using Docker and Kubernetes Monitor system performance using tools like Prometheus, Grafana, or CloudWatch Ensure high availability, fault tolerance, and disaster recovery strategies Implement security best practices across cloud environments Collaborate with development teams to streamline deployment processes Troubleshoot and resolve infrastructure and application issues Required Skills 8-10+ years of experience in DevOps or cloud engineering Strong hands-on experience with AWS (EC2, S3, RDS, VPC, IAM, Lambda, etc.) Experience with Infrastructure as Code (Terraform preferred) Proficiency in CI/CD tools (GitLab CI, Jenkins, Azure DevOps) Strong experience with Docker and Kubernetes Scripting experience in Bash, Python, or similar Knowledge of networking concepts and security best practices Experience with monitoring and logging tools Preferred AWS certifications (Solutions Architect, DevOps Engineer) Experience with microservices architecture Familiarity with configuration management tools like Ansible, Chef, or Puppet Experience working in Agile/Scrum environments Nice to Have Strong problem-solving and analytical skills Excellent communication and collaboration abilities Ability to work in a fast-paced, dynamic environment 📞 Contact me directly at 201-979-3980 or forward your updated resume to .

Job: AI/ML Engineer Location: Newark, NJ/Hybrid Duration: 6+ Months Contract to Hire. Note: This is open for W2 only. Requisition for Lead Machine Learning Engineer (Generative AI Focus) Position Overview: We are seeking a highly skilled and experienced Senior Machine Learning Engineer to join our dynamic team. In the rapidly evolving world of Generative AI (GenAI), this role demands not only traditional machine learning expertise but also a deep understanding of GenAI-specific challenges. The ideal candidate will be a pivotal bridge between the theoretical capabilities of GenAI models and their practical application in production environments. We are looking for someone who can ensure our GenAI solutions are innovative, reliable, scalable, secure, and cost-effective. Key Responsibilities: • Model Deployment & Maintenance: Focus on deploying, monitoring, and maintaining GenAI models in production, ensuring they function reliably in real-world settings., • Data Engineering: Build and maintain efficient data pipelines and storage solutions that support model operations., • Infrastructure Management: Utilize cloud platforms (AWS, Azure, GCP) for model deployment, containerization (Docker), orchestration (Kubernetes), and infrastructure as code (Terraform/CloudFormation)., • DevOps & Automation: Develop CI/CD pipelines, manage version control (Git), and automate deployment processes for seamless operational efficiency., • Security & Monitoring: Implement secure coding practices, authentication, authorization, and set up robust monitoring and alerting systems for both infrastructure and model performance., • Generative AI Expertise: Deep understanding of LLMs, GenAI architectures, frameworks like Hugging Face, prompt engineering, and specialized infrastructure for GenAI workloads., • Advanced Techniques: Apply advanced GenAI techniques like Retrieval-Augmented Generation (RAG), hallucination monitoring, and human-in-the-loop systems., • Agent Development: Design and develop agent and multi-agent systems using frameworks like LangChain, enabling them to interact with external APIs and tools efficiently., • Cost Optimization: Implement strategies to manage and reduce the operational costs associated with GenAI deployments. Qualifications: • Bachelor's degree in computer science/Engineering, data science, or a related field. Master's degree preferred, • At least five plus years' experience as a machine learning engineer, deploying models in production, • Strong proficiency in Python and software engineering principles., • Solid understanding of machine learning fundamentals and model lifecycle management., • Experience with cloud platforms, containerization, and infrastructure management., • Familiarity with DevOps practices and automation tools., • Expertise in GenAI frameworks, prompt engineering, and model serving., • Ability to manage GPU/TPU resources and optimize model serving frameworks., • Experience in developing agentic systems and multi-agent architectures., • Proven track record in cost optimization in AI deployments.

Intellibus designs and engineers platforms trusted by some of the most established FinTech and financial trading firms in the world. Our engineering teams build systems that power high-volume trading, real-time financial data, and mission-critical infrastructure. We expect our engineers to operate at a level where technical depth, sound judgment, and clear communication all carry weight — the problems are complex, the systems are production-critical, and the people you work with will hold you to a high standard. The Staff Engineer Role We are hiring a Staff Engineer to design, build, and own full-stack systems powering financial platforms — from frontend architecture to backend services to distributed event-driven infrastructure. This is not a role where you pick up tickets and ship features. You will be expected to think end-to-end: to understand the business problem, design the system, make the trade-offs, and deliver production-grade software that performs reliably under heavy load. You will work directly with senior stakeholders across technical and non-technical functions, often navigating competing priorities, ambiguity, and high-pressure timelines. The ability to communicate clearly, manage complexity across people and systems, and maintain a high quality bar when things get difficult is essential. If you have built and shipped systems that mattered — at a startup, at a large company, or somewhere in between — and you are looking for a role where you will be challenged technically while also growing your ability to operate in complex, high-stakes environments, we want to hear from you. What You Will Do Frontend Architecture • Build scalable frontend platforms using React, Next.js, and TypeScript., • Design modern UI architectures: server-side rendering, component-driven design, performance optimization, and state management patterns., • Develop reusable component systems and scalable frontend frameworks. Backend Engineering • Build backend services using Node.js and NestJS., • Design and implement REST APIs, microservices, asynchronous workflows, and high-performance data processing systems., • Work with SQL and NoSQL databases using TypeORM, and optimize for throughput and reliability. Event-Driven & Distributed Systems • Design distributed systems built on event-driven architecture using Kafka, Azure Service Bus, Azure Event Grid, and messaging/queue systems., • Build services that process high-volume financial events and real-time trading data. Cloud & Infrastructure • Deploy and operate systems on Microsoft Azure, including Azure App Services, Azure Data Fabric, messaging platforms, Docker, CI/CD pipelines, and Linux environments., • Design infrastructure that supports resilient, scalable distributed systems. What Sets You Apart We are looking for engineers who demonstrate several of the following: • You have designed and operated event-driven distributed systems that process high-volume real-time data., • You have a deep understanding of algorithms, data structures, and time complexity — and you apply that understanding to build systems, not just pass interviews., • You have built full-stack platforms using React/Next.js and Node.js/NestJS that run reliably in production., • You have hands-on experience with message queues, streaming platforms, and asynchronous workflows — Kafka, Azure Service Bus, BullMQ, or similar., • You reason clearly about system trade-offs: latency vs. throughput, consistency vs. availability, speed vs. reliability., • You have operated systems in cloud environments like Microsoft Azure, including debugging production incidents and improving performance under pressure., • You design systems end-to-end and take ownership of architecture and production outcomes — not just the code you wrote., • You have mentored other engineers and contributed to architecture reviews, engineering standards, and technical decision-making., • You communicate well under pressure. You can hold your ground in a room full of stakeholders, explain a technical decision to a non-technical audience, and navigate situations where the right path forward is not obvious. Technology Ecosystem Frontend: React, Next.js, TypeScript, JavaScript, TailwindCSS, HTML5, CSS3. Backend: Node.js, NestJS, REST APIs, Microservices, BullMQ, TypeORM. Event-Driven: Kafka, Azure Service Bus, Azure Event Grid. Infrastructure: Microsoft Azure, Azure Data Fabric, Docker, CI/CD, Infrastructure-as-Code, Linux. Data: SQL, NoSQL, Azure Data Fabric. Our Process • 15-minute video call with someone from our team., • 4 Proctored GQ Tests (under 2 hours)., • 30–45 minute final video interview., • Job offer. If this sounds like the kind of work you want to be doing, apply now. Our team will be in touch within the hour.

Intellibus designs and engineers platforms trusted by some of the most established FinTech and financial trading firms in the world. Our engineering teams build systems that power high-volume trading, real-time financial data, and mission-critical infrastructure. We expect our engineers to operate at a level where technical depth, sound judgment, and clear communication all carry weight — the problems are complex, the systems are production-critical, and the people you work with will hold you to a high standard. The Staff Engineer Role We are hiring a Staff Engineer to design, build, and own full-stack systems powering financial platforms — from frontend architecture to backend services to distributed event-driven infrastructure. This is not a role where you pick up tickets and ship features. You will be expected to think end-to-end: to understand the business problem, design the system, make the trade-offs, and deliver production-grade software that performs reliably under heavy load. You will work directly with senior stakeholders across technical and non-technical functions, often navigating competing priorities, ambiguity, and high-pressure timelines. The ability to communicate clearly, manage complexity across people and systems, and maintain a high quality bar when things get difficult is essential. If you have built and shipped systems that mattered — at a startup, at a large company, or somewhere in between — and you are looking for a role where you will be challenged technically while also growing your ability to operate in complex, high-stakes environments, we want to hear from you. What You Will Do Frontend Architecture • Build scalable frontend platforms using React, Next.js, and TypeScript., • Design modern UI architectures: server-side rendering, component-driven design, performance optimization, and state management patterns., • Develop reusable component systems and scalable frontend frameworks. Backend Engineering • Build backend services using Node.js and NestJS., • Design and implement REST APIs, microservices, asynchronous workflows, and high-performance data processing systems., • Work with SQL and NoSQL databases using TypeORM, and optimize for throughput and reliability. Event-Driven & Distributed Systems • Design distributed systems built on event-driven architecture using Kafka, Azure Service Bus, Azure Event Grid, and messaging/queue systems., • Build services that process high-volume financial events and real-time trading data. Cloud & Infrastructure • Deploy and operate systems on Microsoft Azure, including Azure App Services, Azure Data Fabric, messaging platforms, Docker, CI/CD pipelines, and Linux environments., • Design infrastructure that supports resilient, scalable distributed systems. What Sets You Apart We are looking for engineers who demonstrate several of the following: • You have designed and operated event-driven distributed systems that process high-volume real-time data., • You have a deep understanding of algorithms, data structures, and time complexity — and you apply that understanding to build systems, not just pass interviews., • You have built full-stack platforms using React/Next.js and Node.js/NestJS that run reliably in production., • You have hands-on experience with message queues, streaming platforms, and asynchronous workflows — Kafka, Azure Service Bus, BullMQ, or similar., • You reason clearly about system trade-offs: latency vs. throughput, consistency vs. availability, speed vs. reliability., • You have operated systems in cloud environments like Microsoft Azure, including debugging production incidents and improving performance under pressure., • You design systems end-to-end and take ownership of architecture and production outcomes — not just the code you wrote., • You have mentored other engineers and contributed to architecture reviews, engineering standards, and technical decision-making., • You communicate well under pressure. You can hold your ground in a room full of stakeholders, explain a technical decision to a non-technical audience, and navigate situations where the right path forward is not obvious. Technology Ecosystem Frontend: React, Next.js, TypeScript, JavaScript, TailwindCSS, HTML5, CSS3. Backend: Node.js, NestJS, REST APIs, Microservices, BullMQ, TypeORM. Event-Driven: Kafka, Azure Service Bus, Azure Event Grid. Infrastructure: Microsoft Azure, Azure Data Fabric, Docker, CI/CD, Infrastructure-as-Code, Linux. Data: SQL, NoSQL, Azure Data Fabric. Our Process • 15-minute video call with someone from our team., • 4 Proctored GQ Tests (under 2 hours)., • 30–45 minute final video interview., • Job offer. If this sounds like the kind of work you want to be doing, apply now. Our team will be in touch within the hour.

We are seeking a highly skilled and experienced Senior Software Engineer with expertise in Azure Cloud and. The ideal candidate will have a strong background in software development, cloud computing, and leadership. This role involves designing, developing, and maintaining cloud-based applications,

AWS Certified Solutions Engineer, CCSK, TOGAF, SOA, and ITIL Demonstrated experience in working with cloud-based technologies (Amazon Web Services & Azure) in an enterprise computing environment. Proven DevOps expertise including automation and continuous delivery model Consistent track record for s

Professional certifications in major cloud providers for security such as AWS Certified Security – Specialty, Microsoft Certified: Cybersecurity Architect Expert or Azure Security Engineer Associate and other related certificates such as Certified Information System Auditor (CISA), Certified Infor

Job DescriptionAbout Thea Energy: Thea Energy is leveraging recent breakthroughs in stellarator physics and engineering to create a faster and simpler approach to commercializing fusion energy. The company is reinventing the stellarator using computer-controlled arrays of planar coils thereby replacing the intricate, complex modular magnets required in all other stellarator architectures. Thea Energy is on a mission to create a limitless source of zero emission energy for a sustainable future. Position Overview:We are seeking a highly motivated IT Systems Support Engineer to be based at our New Jersey headquarters. As our second IT hire, you will be a key bridge between hands-on user support and deep-tier systems engineering, reporting directly to and collaborating closely with Thea Energy’s Director - IT across all things infrastructure, security, and support. This is a high-impact, high-ownership role for someone who enjoys building robust systems from the ground up. You'll ensure our scientists, engineers, and executives have a frictionless path to the tools they need - with a leading role in shaping how the Company’s digital foundation is built.Key Responsibility Areas:This role spans both strategic and operational IT, from supporting our scientists and engineers day-to-day to building the systems and automation that scale with the Company. • Own day-to-day IT operations as a primary point of contact for user support, while continuously building and improving the underlying infrastructure., • Design and deploy automated workflows to ensure smooth employee onboarding, offboarding, and lifecycle transitions., • Manage physical and virtual server environments, ensuring high availability, consistent patching, and strong security practices., • Optimize cloud environments, manage identity and access, and maintain a strong security posture across the organization., • Maintain office and lab network infrastructure - including VPNs, firewalls, switches, and Wi-Fi - ensuring reliable, low-latency connectivity., • Build and maintain a thorough knowledge base: clear documentation and infrastructure diagrams that the whole team can rely on., • Manage hardware and software lifecycles, including inventory, procurement, and vendor relationships., • Administer and maintain our MDM environment: managing device enrollment, compliance policies, and configuration profiles across Windows and macOS., • Implement and uphold security best practices to protect mission-critical intellectual property and research data., • Proactively identify and reduce technical debt through automation and process improvement.Ideal Experience & Skillsets:, • 5+ years of experience in systems engineering and desktop support across Windows and macOS., • Proficiency in PowerShell, Python, or similar scripting/automation tools., • Experience managing network infrastructure, including firewalls, switches, and access points., • Hands-on experience with at least one major cloud platform (Azure, GCP, AWS, or Google Workspace/O365)., • Experience with modern IT ticketing systems (e.g., ServiceNow, Zendesk, Freshdesk) and structured support workflows., • Strong documentation skills - able to translate complex systems into clear diagrams and written guides., • Excellent communication skills - comfortable explaining technical issues to both engineers and non-technical stakeholders., • A collaborative, low-ego approach: equally comfortable supporting a user with a hardware issue and leading a server migration., • Ability to thrive in a fast-moving, high-growth environment where priorities can shift quickly., • Experience across multiple cloud platforms (Azure, GCP, AWS, Google Workspace/O365)., • Background working in a startup, research, or scientific/engineering environment., • Familiarity with compliance frameworks or security standards (SOC 2, NIST, etc.)., • Experience with email security platforms (e.g. Barracuda, Proofpoint, Mimecast)., • Familiarity with Security Awareness Training tools (e.g. NINJIO, KnowBe4, Proofpoint).Company Benefits:, • Salary range $85,000-$145,000, • Comprehensive health benefits (e.g. medical/dental/vision), • Employee equity stock options

Job Description * Candidates with fake experience are advised not to apply. To avoid fake experiences, if the client decides to interview you, they will validate all previous experiences for all projects as well as work documents (h1B, EAD, GC). Please be prepared to provide these. Any fraudulent document will be forwarded to USCIS fraud division by default. This job is hybrid in Newark NJ This position will be hybrid in NJ Transit HQ, 283-299 Market St. Newark, NJ 07102 Our direct client has an opening for Cloud Infrastructure Engineer (759097) This position is for 6 months, with the option of extension, and is the client is located in Trenton, NJ WE CAN WORK CORP TO CORP OR W2. If you are interested, please submit the following: YOUR CURRENT RESUME YOUR HOURLY RATE Experience planning and executing migration of on-premises to cloud based server environments Required 6 Years Azure, AWS, Microsoft Required 6 Years Linux server environments and OS installation & management. Required 6 Years Microsoft Active Directory, Microsoft Exchange, Microsoft Office 365, Windows Severs, Linux Servers, AWS SysOps, VMware vSphere Required 6 Years DevOps toolsets, such as GitHub, Terraform and Ansible. Required 6 Years

Job DescriptionJob Description Role: Senior Platform Engineer Duration: 6+ Months Location: New Jersey (Hybrid) Job Summary: We are seeking a Senior Platform Engineer with 14+ years of experience in DevOps/DevSecOps and platform engineering to design, build, and automate enterprise container and middleware platforms. The role involves architecting scalable solutions, supporting Kubernetes environments, and driving automation. Key Responsibilities: • Design and implement scalable and highly available platform solutions., • Build and maintain CI/CD pipelines for containerized applications., • Manage Kubernetes platforms (OpenShift preferred; EKS/AKS/GKE acceptable)., • Implement and manage Service Mesh technologies such as Istio., • Automate infrastructure using Terraform (IaC)., • Implement monitoring, logging, and alerting for platform reliability., • Collaborate with security teams to implement DevSecOps practices., • 14+ years of IT experience in Platform Engineering / DevOps., • Strong experience with Kubernetes/OpenShift and containers (Docker/Podman)., • Experience with CI/CD tools (Jenkins, Git, etc.)., • Hands-on experience with Istio Service Mesh., • Experience with Terraform (Infrastructure as Code)., • Cloud experience with AWS (preferred) or Azure., • Scripting skills (Shell, Python, Groovy, or PowerShell)., • Experience with IBM Event Streams, IBM MQ, or IBM App Connect., • Knowledge of IBM CloudPak or WebSphere products.Additional Information All your information will be kept confidential according to EEO guidelines.

Job Description Job Title: QA Lead / Senior Quality Assurance Engineer Location: NJ or STL (Hybrid) Employment Type: Contract Experience Level: 7+ years Rate: 45$/Hr on 1099/ C2C Overview We are seeking an experienced and detail-oriented Senior QA Engineer to drive quality strategy, test planning, and execution across multiple product teams. This role requires strong technical expertise in both manual and automated testing, leadership capabilities, and the ability to ensure delivery of high-quality, reliable software. The ideal candidate is proactive, collaborative, and passionate about building scalable QA processes. Key Responsibilities • Lead overall QA strategy, planning, and execution across multiple teams or product releases., • Design, develop, and maintain automated test scripts for regression, integration, and functional testing., • Perform manual testing to validate new features, user workflows, usability, and edge cases., • Test vulnerability fixes and ensure the application works as expected, validating that security patches do not introduce regressions or impact existing functionality., • Collaborate closely with developers, BAs, and Product Owners to define clear acceptance criteria and ensure thorough test coverage., • Establish and govern QA processes, standards, and best practices across teams., • Review and analyze requirements, specifications, and technical design documents for clarity, completeness, and testability., • Maintain and improve automation frameworks, integrating them seamlessly with CI/CD pipelines., • Identify, document, prioritize, and track software defects, partnering with engineering teams for timely resolution., • Mentor and guide junior QA engineers in both manual and automation testing techniques. Required • 5+ years of experience in software QA, including 2+ years in a lead or senior QA role., • Strong experience in both manual and automated testing for web or API-based applications., • Hands-on expertise with automation tools such as Selenium, Cypress, Playwright, or Postman., • Solid understanding of QA methodologies, SDLC, and Agile/Scrum practices., • Proficiency with scripting languages such as Python, JavaScript, or Java for automation., • Experience with CI/CD tools such as Jenkins, GitHub Actions, or Azure DevOps., • Excellent analytical, debugging, and problem-solving skills., • Strong communication and collaboration abilities., • Experience with API testing and performance testing tools such as JMeter or LoadRunner., • Knowledge of version control systems, particularly Git., • Experience testing in AWS or other cloud environments., • Demonstrated leadership and mentorship within cross-functional teams., • High attention to detail with a passion for delivering high-quality, reliable software., • Ability to balance strategic QA oversight with hands-on participation., • Strong communication skills, able to translate technical issues into clear business outcomes.

Job DescriptionOur client, a highly respected A-rated P&C Insurance Company, is seeking an experienced Senior Data Engineer (Azure) to join their growing IT department. This is a unique opportunity to spearhead data engineering initiatives and lead a team responsible for building and optimizing scalable data pipelines and architectures. The ideal candidate will bring a blend of technical depth, strategic thinking, and leadership experience to drive the company's data strategy forward. This role offers the flexibility to work remotely but candidate MUST reside in New Jersey or New York.Key Responsibilities: • Drive cloud-based data solutions using platforms such as Microsoft Azure (e.g., Data Factory, Synapse Analytics, Databricks)., • Actively design, build, and deploy application solutions by writing, testing, and maintaining code across the full stack or within low-code/no-code platforms as appropriate., • Work directly with stakeholders and technical partners to gather requirements and turn them into practical, scalable technical solutions., • Implement and refine application architectures, contributing code and configurations that improve performance, reliability, and maintainability., • Develop and execute automated unit and integration tests, and contribute directly to regression testing efforts to ensure high-quality releases., • Perform detailed code reviews, provide technical feedback, and apply best practices to improve overall code quality., • Collaborate daily with engineers, QA, automation specialists, analysts, and project managers to deliver features and enhancements on schedule., • Engage directly with external vendors and contract resources, supporting implementation efforts and ensuring alignment with technical standards. Qualifications / Requirements:, • 5 - 10+ years of hands-on experience in data engineering with advanced proficiency in SQL, Python, and big data tools (e.g., Spark, Databricks). Proven experience designing and managing ETL/ELT processes and pipelines in Azure or other cloud environments., • Strong foundation in application architecture and system design, with the ability to evaluate, structure, and scale solutions effectively., • Hands-on experience applying established design patterns to implement business logic within middle-tier services, leveraging web services and modern architectural principles as appropriate., • Experience building and supporting cloud-native solutions using Microsoft Azure, with exposure to services such as App Services, Azure Functions, AKS, Azure DevOps, Azure SQL, and related platform or infrastructure components., • Solid programming experience with C# and SQL, including hands-on work with SQL Server environments and associated tooling., • Demonstrated capability in designing, developing, and maintaining REST-based backend services, with familiarity in multi-layered API architectures that separate process and experience concerns., • Strong background in automated testing practices, including writing unit tests with dependency injection and mocking frameworks, as well as contributing to integration and regression testing strategies., • Practical knowledge of DevOps concepts, including CI/CD automation, pipeline configuration, and experience working within Agile delivery models., • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related technical field from an accredited U.S. institution., • Microsoft Azure Data Engineering certification is strongly preferred.Salary / Benefits:, • $175,000 - $200,000+ annual base salary plus 10–20% performance bonus, • Flex schedule and ability to work remote, • Extremely competitive Medical, Dental, Vision, and Life insurance plans, • Employer matching 401(k) plan, • Generous PTO plan

Job Description Machine Learning Engineer / AI Engineer Newark, NJ Salary: $120,000 – $180,000 Description / Position Overview This role owns the design, deployment, and long-term performance of production machine learning systems that power data-driven products and operational intelligence. The Machine Learning Engineer is responsible for translating business problems into scalable AI solutions. This includes building end-to-end pipelines, deploying models into production environments, and continuously improving model performance. This is an engineering execution role, not a research-only position. Success requires the ability to move models from experimentation to reliable production systems that drive measurable product and operational impact. Requirements • Experience building and deploying machine learning models in real-world production environments, • Strong Python programming capability and experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn, • Understanding of statistics, probability, and optimization techniques used in machine learning systems, • Experience working with large-scale structured and unstructured datasets, • Experience deploying and operating models on cloud platforms such as AWS, GCP, or Azure, • Ability to build and manage scalable data pipelines supporting ML workflows, • Strong collaboration skills working with product, engineering, and data teams Responsibilities Machine Learning Development • Design, train, and optimize machine learning models for real-world business applications, • Build end-to-end ML pipelines including data ingestion, preprocessing, training, and evaluation, • Select appropriate algorithms and modeling approaches based on problem context, • Continuously improve model performance through experimentation and iteration Production Deployment & Infrastructure • Deploy machine learning models into scalable production environments, • Build APIs and services that operationalize machine learning capabilities inside products and systems, • Manage the full model lifecycle including monitoring, retraining, and drift detection, • Ensure reliability, scalability, and maintainability of ML infrastructure Data & Engineering Execution • Work with structured and unstructured data sources to support model development, • Implement feature engineering strategies that improve model accuracy and reliability, • Collaborate with data engineering teams to maintain clean and scalable data infrastructure, • Optimize model performance and resource efficiency in production systems Cross-Functional Collaboration • Partner with product and engineering teams to translate business needs into machine learning solutions, • Communicate technical insights and model behavior to non-technical stakeholders, • Contribute to AI roadmap planning and prioritization of ML initiatives Must-Haves • Proven experience deploying machine learning models into production environments, • Strong Python and ML framework expertise (TensorFlow, PyTorch, or Scikit-learn), • Experience building scalable ML pipelines and APIs, • Experience working with cloud infrastructure (AWS, GCP, or Azure), • Strong understanding of statistical modeling and machine learning fundamentals Final Invitation to Apply If you are a hands-on machine learning engineer who thrives on building real-world AI systems and taking models from concept to production impact, this is an opportunity to own meaningful technology that drives product innovation and operational performance. Contact Email Resume: Apply Online: Refer a friend, get up to $1000!

Job Description Company Overview Our client is an IT and Voltage Services provider with expertise in deep niche education, real estate, and construction markets. They lead with integrity and transparency, while offering innovative solutions and an excellent customer-focused experience. Position Overview Our client is looking for a Senior Systems Engineer to join our dedicated team with the incredible opportunity for growth. This will be an onsite position at a client located in the Woodbridge NJ, area. Location: Woodbridge, NJ Employment Type: Full-Time Hourly Rate: $80,000 - $95,000 USD/Annually Benefits: Paid Time Off, Health, Dental, and Vision Insurance, 401k Savings Plan Key Responsibilities • Handle escalated technical requests that other technicians were unable to resolve, ensuring prompt and effective solutions for clients., • Demonstrate proficiency in server administration, including DNS management, ensuring the smooth operation and optimal performance of clients' server infrastructure., • Utilize your experience with AVD, Intune and Azure to effectively manage and maintain clients' cloud-based solutions, ensuring proper integration and security., • Possess a sense of urgency when dealing with critical client technical matters, prioritizing and resolving issues promptly to minimize downtime and impact on business operations., • Demonstrate exceptional troubleshooting skills, investigating and resolving complex network and server issues, identifying root causes and implementing appropriate solutions., • Collaborate closely with the team based out of the Lakewood office, actively participating in knowledge sharing, training, and mentoring to foster a collaborative and supportive work environment., • Exhibit a strong dedication to teamwork, readily assisting colleagues and clients as needed to ensure successful outcomes., • Maintain a positive and professional demeanor, both in-person and when communicating remotely with clients, promoting excellent customer service and client satisfaction., • At least 3 years of experience as an IT Technician, preferably in an MSP environment., • Solid background in dealing with escalated technical requests and providing escalated support., • Strong familiarity with server administration, including DNS management., • Proven experience with Intune and Azure, demonstrating expertise in managing cloud-based solutions., • Ability to prioritize and handle critical client technical matters with a sense of urgency., • Excellent troubleshooting instincts and the ability to identify and resolve network and server issues., • Proficiency in logging in to firewalls, switches, and other network devices for configuration and troubleshooting purposes., • Strong team player with the ability to collaborate effectively in a fast-paced environment., • Exceptional communication and interpersonal skills, promoting excellent customer service. EEO Statement Topaz HR is an Equal Opportunity Employer, and we do not discriminate on the basis of race, color, religion, gender, national origin, age, disability, or any other status protected by applicable law. We value and are committed to creating an inclusive environment for all employees. Please Note: Topaz HR is conducting this search on behalf of one of our clients. The employer's name will be disclosed during the interview process, and all hiring decisions will be made directly by the client. Powered by JazzHR TaIuPKCm4D

Job DescriptionAHEAD builds platforms for digital business. By weaving together advances in cloud infrastructure, automation and analytics, and software delivery, we help enterprises deliver on the promise of digital transformation. At AHEAD, we prioritize creating a culture of belonging, where all perspectives and voices are represented, valued, respected, and heard. We create spaces to empower everyone to speak up, make change, and drive the culture at AHEAD. We are an equal opportunity employer, and do not discriminate based on an individual's race, national origin, color, gender, gender identity, gender expression, sexual orientation, religion, age, disability, marital status, or any other protected characteristic under applicable law, whether actual or perceived. We embrace all candidates that will contribute to the diversification and enrichment of ideas and perspectives at AHEAD. The AHEAD Security Specialty Solutions Engineer (SSE) will be focused on security technologies and solutions. The SSE is considered a subject matter expert in this area, with responsibility for selling and designing complex security solutions. The SSE is also considered an organizational thought leader for security within the company. You will work in partnership with sales representatives, practice leaders, and other SSE team members to build a market strategy and assist with account planning for existing and prospective clients. As part of this strategy, you will help sales representatives identify potential security technologies and vendors to partner with for individual clients or in a given region. You will assist with driving this strategy throughout a given campaign. In partnership with other senior and principal SSEs in your practice, you will assist with diagrams, bill of materials, proposal content, and other documentation associated with active security sales campaigns. You will also assist with achieving the proper training and certifications necessary to sell the security solutions we are positioning. Time management and prioritization are essential attributes to be successful. In this capacity, you will work to define security strategies, compare and contrast alternative approaches, and build key relationships, as well as size and configure security products. Positioning and leveraging subject matter experts and other AHEAD consultants is a necessity to scale your effectiveness within accounts. Roles and Responsibilities • Active participation in the AHEAD Security team and related virtual teams., • Be a thought leader within the Solutions Engineering organization, responsible for designing, architecting, and, at times, consulting for AHEAD clients in the security domain., • Build skills, relationships, and industry credibility across many segments to drive product, services, and consulting sales in the security space., • Support the sales teams during engagements by providing advice, solutions, or proposals optimized to meet customer technical and business requirements., • Develop relationships with other Security SSE team members, leaders, and partners in support of sales objectives., • Strategize and execute technical sales calls., • Complete required pre-sales documentation (configurations, pricing, services, presentations, justifications, etc.) quickly and accurately., • Qualify sales opportunities in terms of customer technical requirements, decision-making process, and funding., • Present and market the design and value of proposed AHEAD security solutions and business justifications to customers, prospects, and AHEAD management., • Participate in the mentorship of entry-level team members., • Possess strong, detailed product/technology/industry knowledge in the security domain., • Knowledge of job-associated software and applications. Qualifications, • Experience with any SASE vendor is a significant differentiator, • 3 – 5 years technical experience with security controls in one or more areas such as: Firewalls, IDS/IPS, NTA, NDR, NGAV, EDR, SIEM, Vulnerability Scanning, DLP, Penetration Testing, • Experience in architecture design that brings together and integrates solutions across multiple vendors, • 3 - 5 years acting as a consultant for clients, advising on technical solutions and participating in pre-sales and solution development., • Familiarwith Public Cloud providers: AWS, Azure, GCP, • Ability to grasp new technology concepts quickly and assist others in understanding them as well., • Ability to evaluate new technologies and provide internal training, • Ability to understand customer needs, define requirements, and design solutions, • Ability to develop and present architectural recommendations and implementation/ assessment services, • Expertise with Vendor Configuration Tools Preferred Skills, • Excellent written and verbal communication skills, • Excellent presentation skills, • Strong Technical Aptitude, • Provide technical leadership assuring quality, maximizing team output, • Self-motivated Preferred Certifications, • Industry: CISSP, CISA

Job DescriptionSenior Systems Engineer /Core Infrastructure, VMware *US Citizens or GC Holders *On-site daily in Jersey City, NJ Position Overview We are seeking a highly skilled and experienced Senior Systems Engineer to join our IT Infrastructure team. This role focuses on the design, implementation, management, and optimization of core infrastructure systems with a specialization in VMware and related technologies. The Senior Systems Engineer will play a key role in ensuring the stability, scalability, and security of the organization’s IT infrastructure. Key Responsibilities • Core Infrastructure Management, • Design, deploy, and manage enterprise infrastructure, including servers, storage, and networking components., • Monitor system performance, troubleshoot issues, and implement improvements to ensure high availability and reliability., • Lead infrastructure-related projects, including upgrades, migrations, and system integrations., • VMware Administration, • Architect, implement, and maintain VMware vSphere environments, including ESXi hosts and vCenter servers., • Optimize virtual infrastructure for performance, scalability, and cost-effectiveness., • Manage virtual machine provisioning, snapshots, and backups., • Configuration Management, • Develop and maintain scripts (PowerShell, PowerCLI, Python, etc.) for system automation and process improvements., • Automate repetitive tasks, enhance monitoring capabilities, and ensure system configurations adhere to best practices., • Implement and maintain security measures to protect core infrastructure systems., • Ensure compliance with organizational policies, industry standards, and regulatory requirements., • Collaboration and Leadership, • Work closely with cross-functional teams, including network engineers, database administrators, and application developers., • Mentor junior team members and provide technical leadership. Core Systems and Infrastructure: • Windows Servers: Configuration, management, and performance tuning, • Active Directory (AD): Management of users, groups, and roles, • Group Policy (GPO): Administration and customization, • DNS and DHCP: Configuration and troubleshooting, • Public Key Infrastructure (PKI): Implementation and management, • VMware vSphere, ESXi, and vCenter, • Backup and replication tools: Veeam, Rubrik, Zerto, CommVault, • High-availability design, clustering, and disaster recovery (D.R.) solutions, • SAN, NAS, and Storage Spaces Direct, • Familiarity with NetApp, Dell EMC, and HPE storage solutions, • Tools: SolarWinds, SCOM, PRTG, • Synthetic transactions and real-time alerting, • Performance tuning for Windows servers and virtual environments, • Root cause analysis for recurring performance issues Qualifications • Education: Bachelor’s degree in Computer Science, Information Technology, or a related field (or equivalent experience)., • Experience: Minimum of 7 years of experience in IT infrastructure engineering, with at least 5 years focused on VMware technologies., • Certifications:, • VMware certifications (e.g., VCP, VCAP, or VCDX) are strongly preferred., • Excellent problem-solving and analytical abilities., • Strong communication skills, both written and verbal., • Ability to work independently and collaboratively in a fast-paced environment., • Commitment to continuous learning and professional development.

Job Description Fortegra is building a next-generation engineering capability focused on AI-accelerated development and rapid application delivery. We are seeking Full Stack Engineers who thrive in fast-moving environments and have deep experience designing, building, and deploying enterprise-grade applications. The ideal candidate is a high-agency engineer with strong expertise in React-based front-end systems, modern backend frameworks, and secure public-facing application architecture, combined with hands-on experience using AI-driven development tools and agentic coding workflows. Domain experience in Insurance or Financial Services is a big plus. If you are excited about using tools like Claude Code, GitHub CoPilot, Cursor, Lovable, Replit, and other AI-native development tools to dramatically accelerate product development, we want to talk to you. What You’ll Do: Build and Ship Production Applications: • Architect and develop enterprise-grade full stack applications, • Design and build high-quality React front-end systems, • Develop scalable backend services using modern server-side frameworks, • Deploy secure public-facing applications in production environments, • Ensure performance, reliability, and maintainability of distributed systems AI-Accelerated Development: • Use AI coding tools such as Claude Code, CoPilot, Cursor, Replit, Lovable and similar environments to dramatically accelerate development cycles, • Implement AI-driven development workflows including agentic coding, prompt-driven engineering, and automated code generation, • Rapidly prototype and iterate on new product ideas, • Evaluate and integrate emerging AI developer tools Rapid Prototyping and Product Development: • Quickly build and validate new front-end applications and internal tools, • Partner with business stakeholders to transform ideas into working software, • Develop prototypes that evolve into production-ready enterprise systems, • Help establish Fortegra’s modern AI-first engineering culture Security and Production Readiness: • Design and implement secure architectures for public-facing applications, • Implement authentication, authorization, and secure API design, • Apply best practices in application security, cloud security, and compliance Required Qualifications: • 7+ years of professional software engineering experience, • Significant experience designing and deploying enterprise-grade applications, • Expert-level proficiency with React and modern front-end frameworks, • Strong experience with at least one server-side framework such as:, • Node.js / NestJS / Express, • Python (FastAPI, Django), • .NET Core, • Experience building and deploying secure public-facing applications, • Strong knowledge of API design, distributed systems, and cloud architectures, • Hands-on experience using AI coding tools such as:, • Claude Code, • Cursor, • GitHub Copilot, • Replit, • Experience with AI-assisted or agentic development workflows, • Strong ability to prototype quickly and iterate rapidly Preferred Qualifications: • Insurance or Financial Services domain experience, • Experience building AI-enabled products or developer tooling, • Familiarity with LLMs, AI agents, and prompt engineering, • Experience with serverless and cloud-native architectures, • Experience deploying applications in AWS, Azure, or GCP, • Experience building internal platforms or developer tooling, • Startup or high-velocity product development experience What Makes This Role Unique: • Work in an AI-first engineering environment, • Use modern AI developer tools to dramatically accelerate development, • Build production applications from prototype to deployment, • Help shape Fortegra’s next generation product platform, • Join a high-impact engineering team focused on rapid innovation Salary Range $110,000 – $190,000 base salary, commensurate with experience. Fortegra is not accepting unsolicited resumes from search firms for this position. Recruitment Updates Fortegra has recently been made aware of unauthorized communications regarding career opportunities by individuals not associated with Fortegra or our recruitment team. Fortegra will only contact you from the Fortegra domain address (@fortegra.com). If you receive a message from someone posing as a Fortegra recruiter via text message, WhatsApp, Telegram or other messaging platform, please report it as phishing and block the sender. #LI-Onsite

Job Description Be Part Of A High-Performing Technology Team Join a forward-thinking Commercial Banking technology organization dedicated to building modern, scalable integration platforms that power mission-critical financial systems. This team operates at the center of enterprise application connectivity—designing and delivering high-performance middleware and API solutions that enable seamless communication across global systems and stakeholders. The environment is collaborative, Agile-driven, and innovation-focused, with engineers working closely alongside Product Owners, QA teams, architects, and international business partners. The team values clean architecture, engineering best practices, and thoughtful modernization, while maintaining the stability and rigor required in a regulated financial environment. This role offers the opportunity to contribute to enterprise-scale API platforms supporting global banking operations, including cross-border collaboration with Japanese and English-speaking stakeholders. What’s In Store For You • Opportunity to work on large-scale, customer-facing API platforms within Commercial Banking, • Exposure to modern cloud environments and DevOps practices, • Collaborative Agile team culture with strong engineering standards, • Long-term, high-impact initiatives focused on scalability and modernization, • Design, develop, and maintain scalable middleware and RESTful API applications using Java and Kotlin, • Partner with global stakeholders (Japanese and English-speaking) to translate business requirements into technical solutions, • Contribute to application architecture and apply design patterns to ensure scalability and performance, • Write high-quality, maintainable code with unit testing and automation, • Participate in code reviews and promote engineering best practices, • Support CI/CD pipelines and deployment processes in cloud environments (AWS, Azure, or GCP), • Collaborate within Agile sprint cycles to prioritize and deliver features, • 8–10+ years of application development experience, with strong expertise in Java (Kotlin experience is a plus), • Demonstrated experience designing and supporting customer-facing RESTful APIs, • Strong understanding of JSON, web services technologies, and data structures, • Experience applying design patterns in scalable, enterprise-grade applications, • Hands-on experience with Git, Jira, CI/CD tools, and DevOps practices, • At least 1 year of experience working with public cloud platforms (AWS, Azure, or Google Cloud), • Proven ability to deploy applications to production and support the full application lifecycle, • Experience working in Agile development environments, • Professional-level bilingual fluency in Japanese and English (written and verbal), with ability to collaborate across global teams, • Bachelor’s degree in Computer Science or equivalent experience, • Financial services or banking industry experience preferred

Job Description Be Part Of A High-Performing Team: Join a large, globally recognized financial services environment where cybersecurity, data governance, and operational resilience are mission-critical. This team sits at the intersection of information security, insider risk, and data engineering, supporting initiatives that strengthen enterprise protection through better visibility, centralized governance, and scalable data platforms. The environment is collaborative, delivery-focused, and highly cross-functional, with close partnership across security engineering, data operations, and business-aligned data owners. This role offers the chance to contribute to a high-impact modernization effort focused on building a more unified and actionable cybersecurity data ecosystem. What’s In Store For You: Engagement: W2 only (no C2C/1099) This opportunity offers the chance to work on a long-term cybersecurity data initiative in a hybrid setting, partnering with teams responsible for insider risk, data operations, and security engineering. The role provides exposure to enterprise-scale Azure data architecture, modern lakehouse design, and secure ingestion frameworks supporting sensitive risk and governance programs. It is well suited for a senior engineer who enjoys blending hands-on development with cross-functional technical partnership and agile delivery ownership. How You Will Make An Impact: • Design and build secure, scalable Azure-based data pipelines supporting a centralized cybersecurity data lakehouse, • Develop ingestion frameworks for data tied to insider risk programs, including DSPM, DLP, and related security data domains, • Partner with data owners, insider risk stakeholders, and security engineering teams to translate data requirements into technical solutions, • Help standardize and govern data flows that improve visibility, access, and operational control across the security ecosystem, • Serve as a technical liaison across multiple teams, driving alignment on dependencies, timelines, and delivery expectations, • Provide routine updates to sprint plans and ensure work progresses in line with internal agile and SDLC processes, • Support data quality, security, compliance, and operational reliability across the Azure data platform, • 10+ years of experience in data engineering, data platform development, or related enterprise data roles, • Strong hands-on experience building Azure data solutions in complex production environments, • Proven expertise with Azure Synapse, Azure Data Factory, and Databricks, • Experience designing and maintaining ingestion pipelines, data lakes, and cloud-based data transformation workflows, • Strong understanding of data governance, data security, and compliance considerations in regulated environments, • Experience partnering with cross-functional stakeholders, including engineering teams, business data owners, and security organizations, • Ability to manage multiple priorities, follow through on technical dependencies, and communicate progress in agile sprint environments, • Strong problem-solving skills, ownership mentality, and ability to operate effectively in a fast-paced enterprise setting, • Azure certifications are valued, • Experience supporting cybersecurity, insider risk, DLP, DSPM, or security analytics programs is strongly preferred

Job Description Location: Cambridge, MA (Eastern Time / UTC -4) Relocation package: Available Start date: ASAP Languages: English (required) About the Role Pragmatike is hiring on behalf of a fast-growing AI startup recognized as a Top 10 GenAI company by GTM Capital, founded by MIT CSAIL researchers. We are searching for a Senior Full Stack Engineer (Node.js + React) with strong hands-on experience building scalable, high-performance web applications powering complex, data-intensive AI products used by Fortune 500 customers. This role is ideal for an engineer who enjoys owning features end to end—from backend architecture to polished frontend delivery—someone who can design APIs, build scalable services, craft intuitive user interfaces, and ship production-ready features at scale. What Youll Do • Design, build, and maintain scalable full stack applications using Node.js, React, and TypeScript., • Architect and develop robust backend services, APIs, and data models., • Build modern, production-grade web interfaces with React., • Own features end to end, from technical design and implementation to deployment and production support., • Optimize performance across the stack (frontend rendering, API latency, database queries)., • Collaborate closely with product, design, and AI/ML teams to ship user-facing features., • Establish best practices around testing, code quality, observability, and CI/CD., • Improve overall system architecture, scalability, and developer experience., • Debug and resolve production issues across both frontend and backend systems. What Were Looking For • 5+ years of experience as a Full Stack Engineer., • Strong proficiency in Node.js (Express, NestJS, or similar frameworks)., • Strong proficiency in React and TypeScript in production environments., • Experience designing RESTful APIs and working with databases (PostgreSQL, MongoDB, or similar)., • Solid understanding of modern web architecture and distributed systems fundamentals., • Experience building scalable, secure, and high-performance applications., • Familiarity with cloud environments (AWS, GCP, or Azure)., • Comfortable owning features and shipping to production independently., • Strong collaboration skills across product, design, and backend/ML teams. Bonus Points • Experience building data-heavy dashboards or real-time web applications., • Familiarity with modern state management solutions (Redux, Zustand, React Query)., • Experience with event-driven architectures or message queues., • Exposure to AI-driven or ML-powered products., • Startup experience or comfort working in fast-moving, ambiguous environments. Why This Role Will Pivot Your Career • Research pedigree: MIT CSAIL founders with deep AI and systems expertise., • Customer impact: Build products used by Fortune 500 clients., • Industry momentum: Alumni behind major acquisitions (MosaicML Databricks, Run:AI NVIDIA, W&B CoreWeave)., • Funding & growth: Oversubscribed seed round, next funding planned for 2026., • Ownership: Lead full stack architecture and mission-critical product features., • Engineering depth: Work on challenging scalability, performance, and AI infrastructure problems. Benefits • Competitive salary & equity options, • Sign-on bonus, • Health, Dental, and Vision, • 401(k) Pragmatike is an Equal Opportunity Employer and is committed to providing equal employment opportunities to all applicants without discrimination. We recruit on behalf of our clients and prohibit discrimination and harassment based on race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.We are committed to a fair and inclusive hiring process. We process your personal data solely for recruitment purposes, in accordance with applicable privacy laws, and maintain reasonable safeguards to protect your information. Your data may be shared with our client(s) for hiring consideration, but will not be disclosed to third parties outside of the recruitment process.

Job Description Are you ready to shape the future of authentication? Join 1Kosmos and help lead the next wave in identity assurance and passwordless innovation. 1Kosmos is driving the future of identity security, empowering organizations to eliminate passwords and establish trust at every step of the identity lifecycle. As a vibrant team of innovators, we develop advanced authentication solutions trusted by some of the world’s leading brands. Join us as we create a passwordless world and set new standards for digital identity assurance. We are looking for an AI / Machine Learning Engineer to design, build, and deploy advanced computer vision and AI solutions. You will work on projects involving image capture, data extraction, and fraud detection, delivering high-performance models that can run on both mobile devices and cloud environments. This role blends R&D with production engineering—you’ll take ownership of the full ML lifecycle, from dataset creation and model training to deployment and performance optimization. Key Responsibilities • Design and implement AI models for image classification, object detection, OCR, and feature extraction., • Develop real-time image quality assessment and capture guidance algorithms., • Create and maintain data pipelines for collecting, cleaning, augmenting, and labeling datasets., • Implement model optimization techniques for mobile (on-device) and cloud inference., • Apply fraud detection methods to identify tampering, forgeries, or replay attacks in visual data., • Integrate ML models into production-grade APIs and mobile SDKs., • Monitor, evaluate, and continuously improve model accuracy and performance., • Collaborate with product and engineering teams to align AI capabilities with business goals. Requirements • Bachelor’s or Master’s degree in Computer Science, AI/ML, or related field (or equivalent experience)., • 3+ years of experience building and deploying ML models in production., • Proficiency in Python and ML frameworks (PyTorch, TensorFlow, or similar)., • Experience with computer vision libraries (e.g., OpenCV) and OCR technologies., • Strong understanding of deep learning architectures for image and text recognition., • Familiarity with cloud platforms (AWS, GCP, or Azure) and API development., • Strong problem-solving skills and ability to work in fast-paced environments., • Based in the NJ / NY area; Hybrid working model.Preferred Qualifications, • Experience with model quantization and optimization for mobile deployment., • Knowledge of synthetic data generation and data augmentation techniques., • Background in security, liveness detection, or anomaly detection., • Exposure to compliance and data privacy regulations (GDPR, CCPA)., • Cutting-Edge Tech Stack: Build with decentralized identity protocols, FedRamp High, FIDO2-certified cryptography, and NIST-compliant biometric systems., • Accelerated Growth: Receive annual stipends for certifications and attend key conferences like Identiverse or EIC., • Ownership & Impact: We move fast and will enable you to make a big impact with large customers in US & Canada., • Flexibility First: Unlimited PTO, and 2 days WFH

Job Description Tiger Analytics is seeking a highly skilled Senior AI Engineer to join our dynamic team. In this role, you will design, develop, and implement cutting-edge AI solutions that drive business value for our clients. You will leverage advanced machine learning techniques, frameworks, and large datasets to create innovative products and solutions. As a Senior AI Engineer, you will work closely with cross-functional teams to identify project requirements, define success metrics, and maintain high-quality standards. Your expertise in AI will play a critical role in shaping our product offerings and ensuring the successful deployment of AI models in production. The successful candidate will have a solid background in artificial intelligence, experience with various ML frameworks, and a passion for solving complex business problems. Requirements Key Responsibilities: • Design and implement AI algorithms and models to solve real-world problems., • Collaborate with data scientists, data engineers, and business analysts to understand project requirements and propose relevant AI solutions., • Monitor and analyze the performance of AI models in production and iterate on them to improve outcomes., • Develop technical documentation as well as customer-facing documentation and presentations., • Master's or PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field., • 5+ years of experience in AI/ML development with demonstrated success in deploying machine learning models to production., • Proficiency in programming languages such as Python and familiarity with libraries such as TensorFlow, PyTorch, and Scikit-learn., • Experience with cloud-based AI services such as AWS, Google Cloud, or Azure., • Strong analytical and problem-solving skills, with a proven ability to interpret business requirements into technical solutions., • Experience with natural language processing (NLP) or computer vision applications., • Knowledge of MLOps principles and tools. This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility. #LI-remote

Job DescriptionDescription: Hybrid 50% ON SITE, half remote, work site either Jersey City, NJ or Westlake, TX Our client seeks a Principal Software Engineer to advance an enterprise AI/ML platform within a large, highly regulated industry environment. This role is ideal for a seasoned engineer who has “been around the block” — someone who has designed, built, and operated enterprise-scale platforms and can provide long-term architectural and technical leadership. The role will design and deliver reliable, secure, and cost-efficient capabilities for model packaging, deployment, serving, and observability. You will collaborate with platform engineers and data scientists to operationalize models at scale on AWS, drive standards, and improve reliability and velocity across teams. In this role, you will address complex technical challenges using Python code and have a focus area in delivering machine learning solutions at an enterprise scale. You’ll work on core platform services that enable machine learning and generative AI models to be safely, securely, and cost‑effectively deployed across the organization. A major focus of this role is a Python-based web service that acts as a gateway for AI models. You will be responsible for developing, building, and enhancing platform capabilities that are reliable, secure, and cost-efficient. This position offers the opportunity to collaborate with multiple teams to implement practical and robust solutions widely used in production. Due to client requirements, applicants must be willing and able to work on a w2 basis. For our w2 consultants, we offer a great benefits package that includes Medical, Dental, and Vision benefits, 401k with company matching, and life insurance. Rate: $65.00 to $70.00/hr. w2 Responsibilities: • Design, build, and evolve enterprise-scale Python services that support AI/ML and generative AI use cases., • Lead the technical direction and standards for model packaging, deployment, serving, and observability., • Partner closely with data scientists and application teams to operationalize models and accelerate adoption across the business., • Own and enhance a Python-based API and web service used as a gateway for AI tools, including usage tracking and cost controls., • Drive best practices for cloud-native architecture in AWS, with a focus on reliability, security, and cost efficiency., • Define and improve CI/CD pipelines, reusable frameworks, and paved paths to increase engineering velocity., • Lead incident response, root cause analysis, and post-mortems; implement systemic improvements to prevent recurrence., • Mentor senior and mid-level engineers and provide cross-team technical leadership., • Develop and evolve Python based platform capabilities for enterprise-scale ML packaging, deployment, serving, and observability. This will focus on fullstack work as well as model and data observability including drift detection, prediction quality monitoring, uncertainty signals, and diagnostics., • Partner with Data Scientists to package, scale, and operationalize models with clear APIs, guardrails, and automation, work to enable secure, scalable access to traditional and generative models through enterprise gateways and services., • Set platform strategy and standards for ML packaging, deployment, serving, and observability., • Lead cross-platform incident response and post-mortems, driving systemic fixes., • Introduce reusable frameworks and CI/CD templates to enhance engineering velocity., • 8+ years, typically 10+, building and operating production platforms at scale., • Deep Python development experience and distributed systems expertise with production-grade services. Requires In-depth Python development experience, including building APIs and production-grade services., • Familiarity with Java or Groovy (HIGHLY preferred)., • Technical Expertise:, • Deep expertise in Python and distributed systems, requires strong background in distributed systems and enterprise-scale platforms., • Proficiency in Linux and scripting., • Cloud platform leadership, particularly in AWS (S3, Lambda, Batch). Requires extensive experience designing and operating applications deployed in AWS (S3, Lambda, Batch, and related services)., • Experience with DevOps and CI/CD, including Jenkins and Git-based workflows., • Expertise in Infrastructure as Code (CloudFormation, Terraform/OpenTofu)., • ML enablement in production, including model packaging and deployment strategies, requires practical experience enabling ML in production, including deployment strategies, performance tuning, and observability., • Leadership: Cross-organizational technical leadership and mentoring experience.Proven ability to provide long-term design input and technical leadership on complex, enterprise initiatives., • Strong communication skills — able to clearly explain complex systems and design decisions to technical and non-technical stakeholders. Nice to Have • Exposure to Java or Groovy in enterprise environments., • Familiarity with Docker-based frameworks for model packaging and deployment., • Experience with generative AI platforms and managing secure access to tools such as large language models., • Exposure to Azure or GCP in addition to AWS., • Experience in cost governance or usage monitoring for shared platforms. Education Requirements: • Bachelor’s degree, Controller’s degree, or equivalent experience in Computer Science, Software Engineering, or a related field. W2 employees of Eliassen Group who are regularly scheduled to work 30 or more hours per week are eligible for the following benefits: medical (choice of 3 plans), dental, vision, pre-tax accounts, other voluntary benefits including life and disability insurance, 401(k) with match, and sick time if required by law in the worked-in state/locality. Please be advised- If anyone reaches out to you about an open position connected with Eliassen Group, please confirm that they have an Eliassen.com email address and never provide personal or financial information to anyone who is not clearly associated with Eliassen Group. If you have any indication of fraudulent activity, please contact Eliassen Group: Eliassen Group is a leading strategic consulting company for human-powered solutions. For over 30 years, Eliassen has helped thousands of companies reach further and achieve more with their technology solutions, financial, risk & compliance, and advisory solutions, and clinical solutions. With offices from coast to coast and throughout Europe, Eliassen provides a local community presence, balanced with international reach. Eliassen Group strives to positively impact the lives of their employees, clients, consultants, and the communities in which they operate. Eliassen Group is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status. Don’t miss out on our referral program! If we hire a candidate that you refer us to then you can be eligible for a $1,000 referral check!

Job DescriptionOur client, a highly respected A-rated insurance carrier, is seeking a seasoned Senior Software Engineer (.NET / Azure) to join their growing IT department. This is a unique opportunity to play a key role in driving cutting-edge digital transformation initiatives within a leading organization in the Property & Casualty Insurance industry. The ideal candidate will bring deep technical expertise, innovative problem-solving skills, and the ability to collaborate effectively across teams. This role offers the flexibility to work remotely but candidate MUST reside in New Jersey or New York.Key Responsibilities: • Design, develop, and deploy enterprise-level applications using Microsoft development tools and frameworks., • Participate in full lifecycle development efforts, ensuring scalability, performance, and security best practices are followed throughout., • Leverage Microsoft Power Platform tools to streamline and optimize business processes., • Collaborate closely with business stakeholders, IT leadership, and cross-functional teams to align software solutions with organizational goals., • Contribute to architectural decisions, conduct code reviews, and provide technical guidance to peers., • Research and evaluate emerging technologies, recommending strategic solutions that advance the company’s digital initiatives., • Maintain high standards of software quality, reliability, and maintainability through consistent best practices and documentation.Qualifications/Requirements:, • 5- 10+ years of practical, hands-on development experience with C#, .NET, and Azure., • Hands-on experience designing and delivering cloud-based solutions within the Microsoft Azure ecosystem, including services such as App Services, Functions, Azure DevOps, Azure SQL, and other platform or infrastructure offerings., • Current Microsoft Azure certification is a plus., • Strong development background using C# and SQL, with practical experience working in SQL Server environments and management tools., • Advanced, in-depth expertise with Microsoft Power Platform tools, including Power Apps, Power Automate, and Dataverse. Background working with applications in the property and casualty insurance sector highly preferred., • Demonstrated success building scalable back-end services, including the design and implementation of RESTful APIs and layered API architectures (process- and experience-level APIs)., • Bachelor’s degree in Computer Science, Software Engineering, Information Science, or a related technical field from an accredited U.S. institution.Salary/Benefits:, • $175,000 - $200,000+ annual base salary plus 10-20% bonus, • Ability to work remotely, • Extremely competitive Medical, Dental, Vision, and Life plans, • Employer-matching 401(k) plan, • Lucrative PTO plan, • Succession Planning and tremendous Advancement Potential

As a Data Science/Data Engineer Intern, you will work on cutting-edge analytical and data engineering projects that drive measurable business impact across pricing, underwriting, marketing, and claims. Knowledge of AWS cloud services such as S3, Lambda, EC2, or SageMaker a plus. Collaborate with dat

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Remotely Guide field staff with deployment and replacement of servers and server components · Participate in meetings with other groups (Engineering, Development, and QA) to plan and document deployment approaches and Operational Requirements. LINUX SYSTEMS & APPLICATIONS SUPPORT ADMINISTRATOR One

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Insight Global is looking for a Google Cloud Engineer to join one of our largest financial clients in Jersey City, NJ or Pittsburgh, PA. They will be joining the Technology Services Group on the Public Cloud Engineering team. This team is currently working on advancing their cloud strategy within th

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Title: Data Engineer – Palantir.

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Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field. As a Senior Lead Software Engineer at JPMorgan Chase within the Commercial and Investment Banking's Equities Electronic Trading team, you are an integral part of an agile team that works to enhance, buil