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16 resultaten voor Senior ML Engineer
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We are seeking a highly motivated and experienced Senior Data Scientist - ML Engineer to join our growing Data & AI team (50
We are seeking a highly motivated and experienced Senior Data Scientist - ML Engineer to join our growing Data & AI team (50
We hebben je zoekopdracht uitgebreid met 15 gelijkaardige vacatures.
Our mission is to develop forward-looking solutions—such as model protection, privacy-preserving ML, security for agentic AI, and anomaly detection—that will later be integrated into our Edge products. Develop security tools and frameworks for Bring Your Own Model (BYOM) workflows and perform threat modeling for ML pipelines. Ensure proactive detection of vulnerabilities and compliance with emerging ML security standards. * Build security scanning tools for ML artifacts and deployment workflows. * Perform threat modeling for ML systems (poisoning, evasion, prompt injection). * Have a background in Computer Science, Cybersecurity, or Cryptography and a strong interest in applied ML, OR * Experience with threat modeling methodologies adapted for ML syst
Our mission is to develop forward-looking solutions—such as model protection, privacy-preserving ML, security for agentic AI, and anomaly detection—that will later be integrated into our Edge products. Develop security tools and frameworks for Bring Your Own Model (BYOM) workflows and perform threat modeling for ML pipelines. Ensure proactive detection of vulnerabilities and compliance with emerging ML security standards. * Build security scanning tools for ML artifacts and deployment workflows. * Perform threat modeling for ML systems (poisoning, evasion, prompt injection). * Have a background in Computer Science, Cybersecurity, or Cryptography and a strong interest in applied ML, OR * Experience with threat modeling methodologies adapted for ML syst
Passion for AI/ML
Passion for AI/ML
Our mission is to develop forward-looking solutions—such as model protection, privacy-preserving ML, security for agentic AI, and anomaly detection—that will later be integrated into our Edge products. Define strategies and implement solutions for protecting ML models and sensitive data during deployment. * Assess and mitigate adversarial ML threats (evasion, poisoning attacks). * Have a background in Computer Science, Cybersecurity, or Cryptography and a strong interest in applied ML, OR * Familiarity with adversarial ML attacks and defenses. * Knowledge of privacy-preserving ML concepts (differential privacy, federated learning basics).
Our mission is to develop forward-looking solutions—such as model protection, privacy-preserving ML, security for agentic AI, and anomaly detection—that will later be integrated into our Edge products. Define strategies and implement solutions for protecting ML models and sensitive data during deployment. * Assess and mitigate adversarial ML threats (evasion, poisoning attacks). * Have a background in Computer Science, Cybersecurity, or Cryptography and a strong interest in applied ML, OR * Familiarity with adversarial ML attacks and defenses. * Knowledge of privacy-preserving ML concepts (differential privacy, federated learning basics).
We are looking for an expert in system security architecture with a focus on AI/ML for edge systems. In this role, you will analyze security threats related to AI/ML usage on such systems and propose countermeasures that meet NXP customer needs. Furthermore, you will stay up to date with security-related developments in the fast-moving ecosystem that brings AI/ML to the edge. * Have 5+ years of experience in the design and development of secure systems, focus on embedded systems or complete solutions OR have relevant experience with deploying AI/ML solutions on edge devices and a strong interest in security, preferably already with a good understanding with fundamental security concepts and principles
We are looking for an expert in system security architecture with a focus on AI/ML for edge systems. In this role, you will analyze security threats related to AI/ML usage on such systems and propose countermeasures that meet NXP customer needs. Furthermore, you will stay up to date with security-related developments in the fast-moving ecosystem that brings AI/ML to the edge. * Have 5+ years of experience in the design and development of secure systems, focus on embedded systems or complete solutions OR have relevant experience with deploying AI/ML solutions on edge devices and a strong interest in security, preferably already with a good understanding with fundamental security concepts and principles
Our mission is to develop forward-looking solutions—such as model protection, privacy-preserving ML, security for agentic AI, and anomaly detection—that will later be integrated into our Edge products. Role Summary: Design and implement security solutions for customer-provided ML models running on embedded hardware using secure execution environments and enclaves. * Implement runtime hardening and isolation for ML workloads. * Ensure secure loading and execution of ML models (ONNX, TensorFlow Lite) on edge devices. * Have a background in Computer Science, Cybersecurity, or Cryptography and a strong interest in applied ML, OR * Familiarity with ML model formats and deployment workflows.
Our mission is to develop forward-looking solutions—such as model protection, privacy-preserving ML, security for agentic AI, and anomaly detection—that will later be integrated into our Edge products. Role Summary: Design and implement security solutions for customer-provided ML models running on embedded hardware using secure execution environments and enclaves. * Implement runtime hardening and isolation for ML workloads. * Ensure secure loading and execution of ML models (ONNX, TensorFlow Lite) on edge devices. * Have a background in Computer Science, Cybersecurity, or Cryptography and a strong interest in applied ML, OR * Familiarity with ML model formats and deployment workflows.
Our mission is to develop forward-looking solutions—such as model protection, privacy-preserving ML, security for agentic AI, and anomaly detection—that will later be integrated into our Edge products. Design and implement security solutions for customer-provided ML models running on embedded hardware using secure execution environments and enclaves. • Implement runtime hardening and isolation for ML workloads. • Ensure secure loading and execution of ML models (ONNX, TensorFlow Lite) on edge devices. • Degree in in Computer Science, Cybersecurity, or Cryptography and a strong interest in applied ML • Familiarity with ML model formats and deployment workflows.
Our mission is to develop forward-looking solutions—such as model protection, privacy-preserving ML, security for agentic AI, and anomaly detection—that will later be integrated into our Edge products. Design and implement security solutions for customer-provided ML models running on embedded hardware using secure execution environments and enclaves. • Implement runtime hardening and isolation for ML workloads. • Ensure secure loading and execution of ML models (ONNX, TensorFlow Lite) on edge devices. • Degree in in Computer Science, Cybersecurity, or Cryptography and a strong interest in applied ML • Familiarity with ML model formats and deployment workflows.
We are looking for an expert in system security architecture with a focus on AI/ML for edge systems. In this role, you will analyze security threats related to AI/ML usage on such systems and propose countermeasures that meet NXP customer needs. Furthermore, you will stay up to date with security-related developments in the fast-moving ecosystem that brings AI/ML to the edge. You are eager to explore how emerging technologies—particularly AI/ML—can drive efficiency and innovation in secure software development. Have relevant experience with deploying AI/ML solutions on edge devices and a strong interest in security, preferably already with a good understanding with fundamental security concepts and principles
We are looking for an expert in system security architecture with a focus on AI/ML for edge systems. In this role, you will analyze security threats related to AI/ML usage on such systems and propose countermeasures that meet NXP customer needs. Furthermore, you will stay up to date with security-related developments in the fast-moving ecosystem that brings AI/ML to the edge. You are eager to explore how emerging technologies—particularly AI/ML—can drive efficiency and innovation in secure software development. Have relevant experience with deploying AI/ML solutions on edge devices and a strong interest in security, preferably already with a good understanding with fundamental security concepts and principles
Junior Embedded Software Engineer - Machine Learning
Junior Embedded Software Engineer - Machine Learning
NXP Semiconductors Netherlands B.V.
Leuven
Thuiswerken mogelijk
To that end, we offer challenging opportunities for young SW engineers that want to dive into a deep understanding of DSP architectures and neural network topologies that are used for machine learning operations in applications with low power constraints ('on the edge'). You will be given the chance to learn and contribute to an end-to-end ML deployment flow: from floating-point training to quantized, edge-ready inference. The SW DSP Engineer / Architect designs, codes, develops and debugs DSP algorithms on a variety of platforms, processors and assembly language programs.
To that end, we offer challenging opportunities for young SW engineers that want to dive into a deep understanding of DSP architectures and neural network topologies that are used for machine learning operations in applications with low power constraints ('on the edge'). You will be given the chance to learn and contribute to an end-to-end ML deployment flow: from floating-point training to quantized, edge-ready inference. The SW DSP Engineer / Architect designs, codes, develops and debugs DSP algorithms on a variety of platforms, processors and assembly language programs.
Data modellering: Je implementeert (AI/ML) data science-oplossingen die optimaal de businessvraag beantwoorden. Je stemt af met data-analisten en data engineers om brondata in het datalakehouse ter beschikking te stellen, met report builders voor het bouwen van inzichtelijke rapporten, en met product owners om de data science roadmap te aligneren met de algemene data roadmap.
Data modellering: Je implementeert (AI/ML) data science-oplossingen die optimaal de businessvraag beantwoorden. Je stemt af met data-analisten en data engineers om brondata in het datalakehouse ter beschikking te stellen, met report builders voor het bouwen van inzichtelijke rapporten, en met product owners om de data science roadmap te aligneren met de algemene data roadmap.
You will be part of a team that designs and builds scalable business solutions using the latest Google technologies, serving as a strategic partner to enterprises by driving innovation across multiple domains: this includes modernizing complex legacy systems and migrating critical workloads to the cloud, implementing advanced AI/ML capabilities (including GenAI and Vertex AI) to extract new business value from data, engineering large-scale data platforms (like BigQuery) for deep analytics, and ultimately building future-proof, secure, and resilient cloud-native application architectures. You are not just selling; you are a strategic advisor helping customers navigate their most complex challenges in Data Transformation, AI/ML implementation, and the integration of cutting-edge foundational models like Gemini.
You will be part of a team that designs and builds scalable business solutions using the latest Google technologies, serving as a strategic partner to enterprises by driving innovation across multiple domains: this includes modernizing complex legacy systems and migrating critical workloads to the cloud, implementing advanced AI/ML capabilities (including GenAI and Vertex AI) to extract new business value from data, engineering large-scale data platforms (like BigQuery) for deep analytics, and ultimately building future-proof, secure, and resilient cloud-native application architectures. You are not just selling; you are a strategic advisor helping customers navigate their most complex challenges in Data Transformation, AI/ML implementation, and the integration of cutting-edge foundational models like Gemini.
Snel solliciteren
As a Data Scientist/Engineer at Devoteam, you'll play a hands-on role in delivering impactful solutions across various clients and industries. * ML Modeling: Develop and refine machine learning models.
As a Data Scientist/Engineer at Devoteam, you'll play a hands-on role in delivering impactful solutions across various clients and industries. * ML Modeling: Develop and refine machine learning models.
NIEUW
In your role as a Senior Backend Engineer on the Discovery team, you will be at the very core of our user's journey, architecting the future of how millions of customers find, explore, and engage with our vast product catalog. * Collaborate Deeply: Work hand-in-hand with Product Managers, Data Scientists, and other stakeholders to shape product decisions and integrate cutting-edge ML models into our production
In your role as a Senior Backend Engineer on the Discovery team, you will be at the very core of our user's journey, architecting the future of how millions of customers find, explore, and engage with our vast product catalog. * Collaborate Deeply: Work hand-in-hand with Product Managers, Data Scientists, and other stakeholders to shape product decisions and integrate cutting-edge ML models into our production
• Ontwikkelen en implementeren van AI- en ML-modellen binnen de Vlaamse Overheid.
• Ontwikkelen en implementeren van AI- en ML-modellen binnen de Vlaamse Overheid.
Collaborate closely with data engineers, data scientists, and other technical experts throughout the product lifecycle, including reviewing estimations and technical analyses, to ensure the delivery of high-quality, impactful data and AI products (data sets, dashboards, APIs, ML/AI/GenAI models, …). * Facilitate cross-functional collaboration and communication between business stakeholders, data engineers, BI engineers, data stewards and data analysts.
Collaborate closely with data engineers, data scientists, and other technical experts throughout the product lifecycle, including reviewing estimations and technical analyses, to ensure the delivery of high-quality, impactful data and AI products (data sets, dashboards, APIs, ML/AI/GenAI models, …). * Facilitate cross-functional collaboration and communication between business stakeholders, data engineers, BI engineers, data stewards and data analysts.
In your role as a Senior Backend Engineer 2 on the Discovery team, you will be at the very core of our user's journey, architecting the future of how millions of customers find, explore, and engage with our vast product catalog. * Collaborate Deeply: Work hand-in-hand with Product Managers, Data Scientists, and other stakeholders to shape product decisions and integrate cutting-edge ML models into our production systems
In your role as a Senior Backend Engineer 2 on the Discovery team, you will be at the very core of our user's journey, architecting the future of how millions of customers find, explore, and engage with our vast product catalog. * Collaborate Deeply: Work hand-in-hand with Product Managers, Data Scientists, and other stakeholders to shape product decisions and integrate cutting-edge ML models into our production systems
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Je hebt minstens 4 jaar ervaring als data analist/engineer Jouw taak bestaat erin om onze werven en directie inzicht te geven in de productie door middel van betekenisvolle data en sprekende dashboards. Dit omvat het hele proces van capteren van data of het connecteren met data uit bestaande applicaties (via SSIS, API, PowerPlatform,…), het verrijken en verbinden van alle bronnen in ons datawarehouse (via SSAS) tot het publiceren van dashboards (via Power BI). We rekenen ook op jouw proactieve houding en inzicht in de data zodat de rapportering steeds accurater en inzichtelijker wordt. * Je gaat ook actief contact zoeken met afdelingen om hen bewust te maken van de bestaande data en de mogelijkheden met deze data. * Je centraliseert e
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