BS or MS in Computer Science, Electrical Engineering, Data Science, Artificial Intelligence, or related field.
Strong foundation in machine learning, data analysis, and applied AI.
Proficiency in Python and familiarity with AI/ML libraries like PyTorch, TensorFlow, Scikit-learn.
Experience with AI development and deployment tools including MLflow, Vertex AI, AWS SageMaker, and Docker.
Understanding of networking, cybersecurity, or IoT data is a plus.
Responsibilities
Collaborate with customers to understand their specific environments and operational needs.
Deploy, configure, and optimize Ordr's AI-powered platform for various use cases.
Combine programming skills with AI/ML knowledge to enhance system integrations.
Work with AI research and engineering teams to refine models and ensure readiness.
Build and manage end-to-end ML pipelines for data ingestion and model monitoring.
Present technical findings and demos to stakeholders and customer teams.
Gather feedback from deployments to improve products and AI models.
Benefits
Work directly with global customers across sectors like healthcare, finance, and industrial.
Be part of a cross-functional AI team integrating research, engineering, and customer success.
Transform prototypes into production-ready solutions with real-world impact.
Learn from leading professionals in AI and cybersecurity.
Full Job Description
We9re seeking a Forward Deployed Engineer who brings a unique combination of technical coding expertise and customer understanding. You9ll work directly with enterprises worldwide to deploy Ordr9s AI solutions, ensuring successful adoption and delivering measurable impact.
What You9ll Do
Collaborate with customers to understand their specific environments, data, and operational needs, translating them into effective AI deployment strategies.
Deploy, configure, and optimize Ordr9s AI-powered platform to meet each customer9s unique use cases - from hospitals and factories to banks and airports.
Combine your programming skills and AI/ML knowledge to tailor, automate, and enhance system integrations.
Work with Ordr9s AI research and engineering teams to fine-tune models, validate results, and ensure production readiness.
Build and manage end-to-end ML pipelines for data ingestion, model deployment, and performance monitoring.
Present technical findings, results, and demos to both internal stakeholders and customer teams.
Gather feedback from real deployments to inform future product and AI model improvements.
Qualifications
Education:
BS or MS in Computer Science, Electrical Engineering, Data Science, Artificial Intelligence, or related field
Technical Skills:
Strong foundation in machine learning, data analysis, and applied AI.
Proficiency in Python and familiarity with key AI/ML libraries (PyTorch, TensorFlow, Scikit-learn).
Experience with AI development and deployment tools, including:
MLflow, Vertex AI, or AWS SageMaker for experiment tracking and deployment
Hugging Face or LangChain for LLMs and generative AI
Docker, Kubernetes, REST APIs, and CI/CD workflows
Understanding of networking, cybersecurity, or IoT data is a plus.
Comfort with scripting, debugging, and building automations in customer environments.
Soft Skills & Mindset
Unique blend of coding ability and customer empathy - able to translate complex technical concepts into real-world value.
Clear, confident communicator who enjoys collaborating with both engineers and customer stakeholders.
Highly motivated, adaptable, and eager to learn from fast-paced, real-world challenges.
Strong analytical mindset and hands-on problem-solving approach.
Passion for applying AI to make a tangible difference in large-scale, real-world systems.
About Ordr
Ordr is a cybersecurity company that provides an AI-based platform for IoT and connected devices. The platform helps organizations to discover, classify, and secure all connected devices in their network. Ordr's platform uses machine learning to identify and prioritize devices based on their risk profile and behavior, and provides recommendations for securing them. The company's customers include healthcare, retail, and manufacturing organizations.
