Mechanical Design Engineer - Commercial HVAC Jobot
San Jose, CA9 days ago
- $55–$75 Per Hour
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Skills
- Amazon Web Services (AWS)unmatched
- Analysis Skillsunmatched
- Application Programming Interface (API)unmatched
- Artificial Intelligence (AI)unmatched
- Artificial Intelligence (AI) Programming Languagesunmatched
- Communication Skillsunmatched
- Computer Programmingunmatched
- Computer Scienceunmatched
- Continuous Deployment/Deliveryunmatched
- Continuous Integrationunmatched
- Cross-Functionalunmatched
- Data Analysisunmatched
- Data Modelingunmatched
- Data Scienceunmatched
- Debugging Skillsunmatched
- Dockerunmatched
- Electrical Engineeringunmatched
- Home Automationunmatched
- Hospitalunmatched
- Internet Securityunmatched
- Internet of Thingsunmatched
- Machine Learningunmatched
- Model Validationunmatched
- Performance Analysisunmatched
- Performance Modelingunmatched
- Problem Solving Skillsunmatched
- Product Demonstrationunmatched
- Prototypingunmatched
- Python Programming/Scripting Languageunmatched
- REST (Representational State Transfer)unmatched
- Scripting (Scripting Languages)unmatched
- System Integration (SI)unmatched
- Technical Presentationunmatched
- Use Casesunmatched
Description
Ordr Inc., we secure the connected world by bringing visibility, intelligence, and control to every device — from life-saving hospital equipment to robotic arms on factory floors, ATMs in banks, and IoT systems in airports. Our AI-driven platform turns complex network data into real-time security insights for some of the world’s largest and most mission-critical organizations.
We’re seeking a Forward Deployed Engineer who brings a unique combination of technical coding expertise and customer understanding. You’ll work directly with enterprises worldwide to deploy Ordr’s AI solutions, ensuring successful adoption and delivering measurable impact.
What You’ll Do
- Collaborate with customers to understand their specific environments, data, and operational needs, translating them into effective AI deployment strategies.
- Deploy, configure, and optimize Ordr’s AI-powered platform to meet each customer’s 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 Ordr’s 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.
Why Join Ordr
- Work directly with global customers — from world-class hospitals to industrial and financial leaders — deploying AI solutions that protect their most critical assets.
- Be part of a cross-functional AI team bridging research, engineering, and customer success.
- See your work move from prototype to production and real-world impact.
- Learn from top-tier AI and cybersecurity professionals.
- Competitive salary, stock options, and comprehensive benefits.
Numbers & Facts
| Location | Santa Clara, California |
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