About Signal Ocean × AXSMarine

Signal Ocean is the technology arm of the Signal Group, providing market-leading advanced machine learning and AI-driven intelligence to shipping and commodities professionals worldwide. Our platform delivers tailored, exclusive insights through web, mobile, and API interfaces, enabling clients to make faster, better-informed commercial decisions.

Signal Ocean has recently acquired AXSMarine, a business with over 25 years of experience in the freight and commodities space – and is actively integrating the two companies. The combined business now offers the most comprehensive suite of freight market intelligence available, and we are actively building the team to realise the full potential of the integration.

About the Role

We are looking for an experienced Sales Account Manager to join our Hamburg-based Alphaliner team. Alphaliner is a brand unto itself within the Signal Ocean × AXSMarine group, with hundreds of well-established clients across the container shipping industry.

This is a relationship-first role: your primary mandate is to own, protect, and grow a defined portfolio of Alphaliner accounts within an assigned geographical area, providing the client care, retention focus, and upsell/cross-sell attention needed to maximise the value of an already strong book of business.

We are looking for a Senior Data Engineer with a strong software engineering background and deep expertise in building modern cloud-based data platforms.

You will be responsible for designing and developing scalable data infrastructure, building reliable data pipelines, and establishing engineering best practices across our data ecosystem. This role is ideal for someone who enjoys solving complex engineering challenges while enabling analytics, machine learning, and product teams with high-quality data.

Are you a team player with strong troubleshooting skills looking to contribute to a growing organization?

The API Analyst is responsible for supporting the design, implementation, testing, documentation, and maintenance of Application Programming Interfaces (APIs) that enable seamless integration between internal and external systems. This role serves as the bridge between business stakeholders, software developers, product teams, and third-party partners to ensure API solutions meet business requirements, security standards, and technical specifications.

The ideal candidate has strong analytical skills, understands RESTful API’s and web services, and enjoys solving technical integration, challenges while improving the overall customer and developer experience.

About SARA Plus

SARA Plus is an order entry software designed to help dealers such as AT&T and Direct TV manage their business more effectively. It is used to track inventory, place orders and provide analytical data. It provides a single interface that is streamlined to manage all customer orders.

About DSI

DSI is a family-owned company that has been in business since 1984. We provide enhanced value that delivers results for our clients and partners; through sales management, marketing assistance, hardware logistic solutions, immersive training, engineering expertise, and proprietary software solutions.

AI Agent Systems Architect

Azumo, a leading AI Development company, is seeking a highly motivated AI Agent Systems Architect to join our growing team of expert AI developers. We specialize in delivering Top AI Development services, helping organizations build intelligent applications powered by Generative AI, large language models (LLMs), and advanced automation. As part of our team, you will collaborate with engineers, data scientists, and domain experts across SaaS, cloud, and big data environments. You will work on cutting-edge agentic architectures, translating research into production-ready solutions that drive real-world impact for global clients. At Azumo, you’ll thrive if you enjoy the full lifecycle of Generative AI development—from ideation and prototyping to deployment, monitoring, and scaling intelligent applications.

Responsibilities in AI Development

Architect, design, and actively write code for production-grade stateful multi-agent systems, custom state machines, and function-calling workflows using frameworks such as LangGraph, CrewAI, or native Python execution loops.

Lead full-cycle hands-on development: data preparation, tool integration via Model Context Protocol (MCP), structured output enforcement, context-window recovery/caching, containerization, and secure cloud deployment (Azure/AWS).

Tiger Analytics is seeking a highly experienced Lead AI Engineer to lead the end-to-end AI Engineering workstream for the Luma platform. This is a hands-on technical leadership role responsible for driving the architecture, design, and delivery of enterprise-scale Agentic AI solutions while serving as the primary technical interface for the client.

The ideal candidate will combine deep expertise in AI engineering, distributed systems, cloud-native architectures, and MLOps with exceptional stakeholder management skills. This individual will oversee multiple engineering pods, mentor technical teams, drive engineering excellence, and partner closely with client leadership to shape the AI roadmap and ensure successful delivery.

Requirements

Location: New York, United States (Office) - Must be able to work office based in NYC

On-Site | Full-time

Compensation: $300K - $375K

Our client, a premier venture accelerator backing high-growth technology and emerging-tech startups, is seeking an experienced and self-directed Senior Machine Learning Engineer to join their in-house engineering team in New York City.

Reporting directly to the Chief Technology Officer (CTO), the Senior Machine Learning Engineer will take full ownership of features throughout the product lifecycle—from requirements definition to production deployment. This onsite role requires an entrepreneurial mindset and deep technical execution to turn loosely defined problems into robust, production-ready machine learning and LLM-based systems without reliance on large engineering teams or dedicated project managers.

Key Responsibilities

We're looking for a Software Fraud Engineer to design and build our next-generation fraud prevention platform. You'll develop real-time fraud detection systems, risk engines, and automated decision-making services that protect both our users and business.

This is an engineering role focused on building fraud prevention systems — not a manual fraud operations position.

Responsibilities

Fraud Detection

• Design and develop fraud detection systems for payments, wallets, authentication, and user activity.
• Detect account takeover, payment fraud, bonus abuse, multi-accounting, and other abuse scenarios.
• Build real-time fraud pipelines and event processing systems.
• Develop automated fraud prevention mechanisms.

Risk Engine

• Build and improve fraud rules, velocity controls, and dynamic risk scoring.
• Design decision engines for transaction approval, review, or rejection.
• Continuously optimize fraud detection accuracy while minimizing false positives.
• Improve fraud models using behavioral and transactional data.

Data & Analytics

As our platform continues to scale, security becomes a core product capability rather than a separate function. We're looking for a Product Security Engineer who can partner directly with engineering teams to build secure systems from the ground up.

This is a highly technical, hands-on role where you'll improve the security of our applications, cloud infrastructure, APIs, and development lifecycle.

Responsibilities

Application Security

• Review application architecture and new product features from a security perspective.
• Identify security vulnerabilities across backend services, APIs, mobile applications, and web platforms.
• Perform threat modeling and security design reviews.
• Support internal and external penetration testing activities.

Secure Development

• Build and improve Secure SDLC across engineering teams.
• Integrate security tooling into CI/CD pipelines.
• Improve developer security practices and provide technical guidance.
• Help engineering teams remediate vulnerabilities.

Cloud & Infrastructure Security

• Improve the security posture of our cloud infrastructure.
• Secure Kubernetes environments, IAM policies, secrets management, and infrastructure components.
• Implement security monitoring and hardening best practices.
• Work closely with Platform and DevOps teams.

Security Automation

Location: Santa Ana, California — on-site
Employment type: Full-time
Salary:  $120,000 – $155,000

About us

Created.ai is an AI-powered creative platform combining text, image and video generation into production tools for commercial creative work. The platform is operated by eJam, a multi-brand consumer products and technology company.

We are expanding our engineering team with two appointments covering our AI platform infrastructure and our product engineering surface. Both roles carry substantial technical ownership and report directly into engineering leadership.

This position is AI-native by design. Our engineers work with agentic coding tools as a primary part of their daily workflow, which allows a small team to operate at a scope that would conventionally require a much larger one. We are looking for engineers whose judgement, architectural thinking and review discipline scale that leverage rather than being replaced by it.

Role summary

We are seeking a Mid-Level Engineer to build and ship features across the created.ai product experience — from the browser client through our NestJS API to the Python AI services that power generation, and back out to how results are presented in the interface.

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

Tiger Analytics looking for an experienced Enterprise AI Architect to lead the design and implementation of enterprise-scale AI platforms and intelligent applications. In this role, you will define the AI technology strategy, architect production-grade AI solutions, and partner with business and engineering leaders to accelerate AI adoption across the organization.

You will work on cutting-edge technologies including Generative AI, Agentic AI, Large Language Models (LLMs), cloud platforms, and modern data architectures while establishing scalable, secure, and responsible AI solutions.

Key Responsibilities