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The Ceramic QC Lab role is responsible for operating a quality assurance lab based on existing testing systems and developing new testing methodologies. This role requires learning and applying QC testing methods, working independently to solve ceramic-related problems, maintaining attention to detail, and finding methodologies for conducting various tests.

Responsibilities:
Conduct QA Tests on Raw Materials: Perform QA tests on incoming raw materials and during their storage period, especially for materials with long storage times.
Monitor Ceramic Quality: Conduct QC tests to monitor ceramic quality throughout preparation, mixing, and printing stages.
Data Reporting: Input results to engineers at workstations and maintain direct communication to ensure consistency between measurement results and observed results in the field.
Improve Testing Methodologies: Continuously learn and enhance testing methods to refine results, ensuring up-to-date status analysis that matches results from different workstations.
Develop and Operate Monitoring Systems: Establish and operate a monitoring system for ceramic quality, accounting for calendar, process changes, equipment changes, and quality correlations between raw materials and batch variations.
Receive guidance from the Chemistry and Process teams to support QC methods.
Create Efficient QC Systems: Develop additional methods for an efficient QC system that provides an up-to-date quality status for ceramics, enabling troubleshooting without halting the process or workstations (e.g., material correction, refreshing, and adjusting working conditions to align material quality with the process).

The System Operator is responsible for operating and maintaining Digital Casting production systems in an R&D environment, working in an industrial setting under the supervision of a process engineer. The role involves working in 3 shifts: morning, evening, and night.

Responsibilities:
Machine Setup: Assemble tools and load raw materials into machines, preparing them for operation.
Calibration: Perform required calibrations to ensure proper machine functioning.
Process Monitoring: Check and input process parameters and other production data.
Equipment Operation: Operate equipment for material handling and the computerized process.
System Performance Monitoring: Monitor and report on operational equipment, ensuring optimal system performance.
Data Recording: Record process-related data in an organized manner for accurate tracking.
Quality Inspections: Perform visual inspections of quality and quantity, making adjustments to resolve issues under supervision.
System Cleanup: Disassemble cast parts and clean the system after processing at the end of each shift.
Safety Compliance: Adhere to all safety requirements and properly use personal protective equipment (PPE).
Inventory Management: Maintain and manage inventory of materials and tools.

The CTO Integrator plays a key role in planning, building, and conducting tests of jigs for experiments. This position involves designing, building, and integrating test systems to ensure experiments meet their required specifications and physical phenomena.

Responsibilities:
Jig Construction and Testing: Build and integrate jigs, then conduct tests to ensure they function as required.
Test Design: Design and develop tests for experiments in a research and development environment.
Simulation Verification: Ensure that test jigs simulate the necessary physical phenomena for accurate testing.
Technology Assessment: Examine new technologies, run tests, and analyze data for potential integration.
Collaboration with Researchers: Work closely with researchers to ensure test systems align with experimental needs.

a well funded startup developing AI for diagnosing diseases from retinal images, is looking for an AI (vision) Researcher.
As part of the team you will:
Develop novel solutions for retinal screening, spearheading healthcare accessibility
Help prevent blindness worldwide
Join a leading company with unique FDA approved products
Learn from top ML researchers in the field

We are searching for an adaptable and quick-learning IT Support Engineer to join our global IT team. This role involves delivering technical support across our various offices, managing local and remote IT infrastructures, and ensuring efficient tool and system utilization. The ideal candidate possesses a robust IT foundation, embraces various technologies, and has an inherent passion for continuous learning. In close collaboration with all departments you'll contribute to the operational success of technology solutions that fuel our growth.
Responsibilities
Oversee day-to-day IT operations, including hardware, software, and network troubleshooting, support, and maintenance
Develop documentation and user training materials on software and tools
Establish scalable employee lifecycle management processes, ensuring seamless and compliant operations
Develop and execute IT policies and procedures that enhance data security, system integrity, and availability
Enforce compliance with ISO27001 or other information security standards
Permissions and licenses management across company apps
Manage and maintain hardware inventory, orders, and external vendor relationships
Package and distribute software packages across various operating systems.

Required Technical Support Engineer
About the position
An SAP company, pioneered the Digital Adoption Platform (DAP) to enable business leaders to fully harness technology in today's complex digital landscape. By leveraging our features-guidance, engagement, insights, and automation-employees boost efficiency, executives gain greater visibility into digital usage, and organizations maximize their digital assets, driving successful digital transformation.
Together, SAP and us form a powerful partnership that revolutionizes the digital transformation journey. This collaboration allows businesses to unlock the full potential of SAP's robust ERP solutions while seamlessly enhancing user experience and productivity with our intuitive digital adoption platform.
As a Technical Support Engineer, you will report to the Support Manager. You will be the trusted point of contact for our portfolio of customers, beginning from the point of sale and extending through onboarding, project success, and renewals. As a Technical Support Engineer, you will play a crucial role in delivering prompt and effective solutions to our customers, ensuring we meet our Service Level Agreements (SLAs) and achieve high customer satisfaction. Additionally, you will actively contribute to our knowledge base and customer community, enhancing the overall customer experience.
What You'll Own
Communicate with customers via email, live chat, and screen shares.
Act as a trusted advisor to our customers, promoting product knowledge and self-sufficiency.
Develop in-depth knowledge of our products and their features.
Engage with customers to understand and fulfil their goals with our solutions.
Apply and share best practices for optimal use of our products.
Innovate and propose ideas for enhancing the overall customer experience.

We are expanding its AI capabilities, and were looking for an AI Product Adoption Engineer who thrives on hands-on execution, customer proximity, and getting real AI solutions live in the field.
This is a boots-on-the-ground position for someone who is energized by rolling up their sleeves, working side-by-side with customers and internal teams, and doing what it takes to get AI products fully implemented, adopted, and delivering value.
You will work directly with customers, sales and post-sales teams, Product Managers, and Engineers to ensure our AI capabilities are live, working, and embedded into real enterprise workflows.
If youre excited by driving large-scale AI adoption, building internal champions, and spending time with customers to get AI solutions up and running, this role is for you.
What will you actually be doing?
Owning AI adoption across our global customer base.
Defining, executing, and continuously improving adoption approaches based on what works in real customer environments.
Acting as a go-to resource for customers and internal teams when AI needs to be explained, implemented, or unblocked.
Clearly articulating our AI strategy, product value, and differentiation internally and externally.
Serving as a trusted, highly credible product expert to help internal teams and customers move confidently from experimentation to production usage.
Building and maintaining a real-world AI use case library grounded in customer problems, solutions, and outcomes.
Applying strong discovery skills to understand customer challenges, diagnose root causes, and map them to our AI capabilities.
Partnering closely with Product Managers to surface gaps, opportunities, and required improvements.
Bringing structured feedback and market intelligence from the field to help shape the AI roadmap.
Staying deeply connected to Engineering and Product to understand our technical strengths, constraints, and evolution.

Join our strong AI group as a Senior Full Stack Engineer to lead development on Sticklight, our high-momentum B2C vibe-coding platform that has already gained significant traction. This is a pivotal role where you will collaborate with top professionals to build a product designed for massive scale and worldwide reach.
You will be responsible for crafting scalable, AI-driven systems and intuitive interfaces across the full stack - from robust backend microservices to modern React-based frontends. Your passion for platform engineering, dedication to developer experience, and focus on business objectives will directly drive transformative impact for the product.
Responsibilities:
Platform & Scale: Bbe a key contributor to the design, planning, and development of Sticklight's high-quality, high-scale features and core platform foundations.
Full Stack Development: Craft and maintain robust backend microservices and modern, intuitive React-based frontend applications for a smooth user experience.
Reliability & Monitoring: Champion monitoring, observability, and high availability of the system to support rapid growth in a production environment.
Innovation & AI: Research, introduce, and incorporate new technologies, best practices, and emerging AI tools/models to continuously elevate the stack and advance AI-driven workflows.
Cross-Functional Collaboration: Partner closely with Product, Design, and Engineering peers to deliver on strategic business objectives.

We are looking for an experienced QA and Automation Engineer to design test scenarios and execute manual and automated test plans for web applications.
We are looking for people who look at the world differently, people who are passionate about making sense out of huge amounts of data, who explore, analyze and lead the solutions they envision. If you are an engineer that is passionate about being part of an innovative product, making an impact, and striving to work with the industrys best talent as part of one of the fastest growing and successful startups around - this is where you want to be!
So what will you actually be doing?
Design, plan, analyze QA tests for web applications.
Work closely with the development teams and be part of a development cycle.
Design and execute automated end-to-end regression and sanity tests, identifying gaps and deficiencies.
Assess delivery readiness and maintain outstanding UX/UI standards through manual testing as needed Review final product functionality before releases.
Handle software updates, patches, and bug fixes.

Ww are looking for an Experienced QA Engineer to write test scenarios, automating test flows and execute manual test plans for web applications! We are looking for people who look at the world differently, people who are passionate about making sense out of huge amounts of data, who explore, analyze and lead the solutions they envision. If you are an engineer that is passionate about being part of an innovative product, making an impact, and striving to work with the industrys best talent as part of one of the fastest growing and successful startups around - this is where you want to be!
So what will you actually be doing?
Design, plan, analyze QA tests/test-plans for web applications.
Work closely with the development teams and be part of a development cycle.
Design and execute automated end-to-end regression and sanity tests, identifying gaps and deficiencies.
Assess delivery readiness and maintain outstanding UX/UI standards through manual testing as needed.
Investigate product quality issues to uphold high-quality standards.
Collaborate with Product and other teams to manage documentation and ensure timely releases.
Review final product functionality before releases.
Assist and guide developers in creating test plans for their new features.

We are looking for a System Integrator to join the company integration division, the position is primarily hands-on involving delivering and supporting large scale projects. Every project is unique and will require learning new technologies and designing new solutions to meet the R&D requirements & deliver a complete solution with Infrastructure & software to the end customer. The integration team is involved throughout the lifecycle of the R&D process from the development stage lab environments to the full-scale deployment in the customer premise and ongoing support & upgrades once the delivery is complete. Support customers (outside the office) Willingness to travel overseas to customers. On call responsibilities.

Why Join Us:
mPrest Systems, a global provider of mission-critical monitoring & control solutions for the defense, security, utility, and Internet of Things (IoT) sectors. Our game-changing technology is already making a difference worldwide. You can also make a difference by joining our company!

Required Technical Solution Engineer
We are looking for a fast learning, motivated individual to join our Product Experience team in R&D. If youre passionate about technology and problem solving, but are also a great communicator, wed love to chat with you. This role is a great opportunity to expand your technical skillset and work directly with our Software Engineers to support a wide range of customer use cases on a variety of web-based platforms.
What will you actually be doing?
Analyzing and researching customer use cases and processes in web applications.
Monitoring Production logs in our Backoffice system to identify and proactively address potential issues.
Implementing solutions that will scale to millions of users.
Advancing the world one step closer to Artificial General Intelligence.
Working closely with Software Engineers, Product Managers, Professional Services, Customer Success and Support to ensure the ongoing success of our customers.
Proactively thinking of new and innovative ways to provide our customers with an outstanding product experience.
Creating internal documentation and resources to share knowledge within the organization.
Serving as an internal point of escalation for our Support team and driving resolution of technical issues, including identification of root cause.

As our company continues to grow, an exciting opportunity awaits a dynamic individual to join our R&D team as an AI Engineer. We are seeking a highly skilled AI Engineer with expertise in LLMs, computer vision, NER, statistical modeling, and classic ML. The ideal candidate will have strong backend software engineering skills, advanced proficiency in Python, and extensive experience in the end-to-end development, deployment, and maintenance of AI-driven systems. This role requires a team player with a can-do attitude who thrives in a collaborative environment, bringing innovative ideas from concept to scalable, high-quality products.
Responsibilities
Design and develop LLM-powered AI solutions (e.g., intelligent agents, semantic search, document understanding) for production environments.
Implement integrations with multiple data sources and APIs to extend AI capabilities and automate workflows.
Build and optimize end-to-end AI pipelines, from data ingestion and preprocessing to model deployment and monitoring.
Collaborate with product, data, and UX teams to ensure solutions address real business needs and deliver measurable value.
Continuously evaluate, fine-tune, and improve model performance and scalability.