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Experience
Qualifications
The ideal candidate should possess a strong background in computer science or a related field, with hands-on experience in AI technologies, programming languages such as Python or Java, and automation tools. A solid understanding of machine learning principles and experience with cloud platforms will be beneficial. Strong problem-solving abilities, attention to detail, and the capacity to collaborate within a team are essential. Previous experience in a similar role will be an advantage.
About the job
Join Rydoo as an AI Automation Engineer and be at the forefront of transforming our automation processes using cutting-edge artificial intelligence technologies. You will work alongside a talented team of engineers and data scientists to innovate and optimize automation solutions that enhance our operational efficiency.
Your expertise in AI and automation will play a crucial role in analyzing complex systems, developing intelligent algorithms, and deploying reliable automation frameworks.
About Rydoo
Rydoo is a forward-thinking company dedicated to streamlining business travel and expense management through innovative technology solutions. Our mission is to simplify and enhance the way companies manage their travel, helping businesses save time and money.
Join sspcs as a Lead AI Engineer, where you will spearhead innovative solutions and drive cutting-edge AI initiatives. Your expertise will help shape the future of our projects and influence our strategic direction within the tech landscape.
Full-time|Remote|Belgium; Dubai; Portugal; United Kingdom; United States
Join DataCamp as a Staff AI Engineer - AI Creator and play a pivotal role in shaping the future of AI technology. In this innovative position, you will lead the development of cutting-edge AI solutions that enhance our educational platform and empower learners around the world. Collaborate with a dynamic team of engineers and data scientists to create impactful AI models and applications that deliver real-world results.
Become a Key Player in Collibra’s Unstructured AI TeamEngage with cutting-edge context engineering, defining how AI systems gather, structure, and utilize context to produce precise, high-quality outcomes at scale.Take ownership of the complete technical delivery of Unstructured AI systems, from initial feature prototypes to stable production within enterprise settings.Design and enhance full-stack systems capable of ingesting, processing, and enriching substantial amounts of unstructured content from various enterprise silos, including PDFs, contracts, reports, and more.Collaborate with Industry Leaders: Work closely with the xYC Founders to tackle intricate business challenges and craft effective solutions. Join a vibrant team that fosters creativity and the free flow of ideas.Learn and Lead: Stay ahead in the rapidly evolving field of machine learning and AI. Share insights and lead by example to uphold high standards in development.This is a hybrid role based in our Brussels office. Our hybrid model requires you to work from the office at least two days a week, promoting team connection and collaboration.
Join our dynamic team as an Applied Research AI Engineer, where you will be instrumental in transforming cutting-edge AI advancements into practical, scalable solutions for our clientele. Your role will bridge the gap between research and engineering; you will delve into new models, evaluation techniques, and system architectures, ultimately transforming these insights into working prototypes and production-ready components.We are seeking a passionate and motivated individual to become a vital part of our AI engineering team. In this position, you will investigate state-of-the-art methodologies in areas such as Large Language Models (LLMs), retrieval systems, agentic workflows, multimodal AI, evaluation, and fine-tuning. You will collaborate closely with engineers, project managers, and clients to deploy these innovations in meaningful real-world applications.
Engage with real-world AI challenges using authentic data to deliver impactful solutions.Collaborate closely with clients to customize and implement our products tailored to their unique needs.Contribute to our innovative research efforts alongside esteemed academic partners.Transform developmental outcomes into production-ready implementations for our clientele.Join a dynamic team dedicated to solving complex problems efficiently.Help evolve our self-learning product in alignment with our strategic roadmap.Ensure the delivery of high-quality code consistently throughout each sprint!
Full-time|Remote|Belgium; Dubai; Portugal; United Kingdom; United States
Join DataCamp as a Principal AI Engineer in our innovative AI Creator team, where you will lead the development of cutting-edge AI solutions that empower users to enhance their skills and knowledge. This role offers a unique opportunity to collaborate with a talented team of professionals and contribute to the evolution of AI-driven education.
Full-time|Hybrid|Belgium; Dubai; Portugal; United Kingdom; United States
Join DataCamp as a Staff AI Engineer specializing in AI creation, where you'll lead innovative projects in artificial intelligence to enhance our educational platforms. You'll collaborate with cross-functional teams to design, develop, and implement advanced AI solutions that shape the future of online learning.
Join the Innovative AI Team at CollibraWe are seeking a seasoned AI Engineer to craft and implement advanced Artificial Intelligence solutions that enhance customer experiences and facilitate data-driven decision-making. If you are passionate about leveraging the latest technologies to develop practical and high-performing AI solutions, this is the role for you. You will collaborate with a global team of exceptional professionals who share a commitment to innovative technology, problem-solving, and the continuous development of simple, elegant products that delight users and streamline data engagement processes. Your primary interactions will be with Data Scientists, fellow AI Engineers, and Machine Learning Operations Engineers, along with various teams throughout Collibra.This position is hybrid, requiring you to work from our Brussels office at least two days a week. This arrangement fosters connectivity, teamwork, and progress as we collaborate closely.
Join our dynamic team as an AI Engineer, where you will play a pivotal role in developing innovative artificial intelligence solutions that drive our clients' success. You will collaborate with multidisciplinary teams to design, implement, and optimize AI models, ensuring they meet the high standards of performance and reliability.
Join our dynamic team as a Forward Deployed AI Engineer, where you'll be pivotal in connecting our technical expertise with client needs. Your role will involve crafting tailored proposals, delivering engaging demonstrations, and swiftly creating AI prototypes that showcase tangible benefits.Your collaboration with our sales and delivery teams will be essential in translating client requirements into practical solutions, ultimately driving the success of new project acquisitions through compelling technical presentations.Key ResponsibilitiesEnhance our presales initiatives by designing and delivering customized AI demonstrations and proofs of concept.Collaborate with our AI engineering team to convert client specifications into precise technical implementations.Prepare relevant data or model configurations to ensure our demos resonate with the client's business context.Contribute to the technical sections of proposals and presentations, facilitating their transition into production.Guide clients and internal teams through the capabilities and limitations of current AI tools, effectively managing expectations.
Join our innovative team as a Generative AI Engineer, where you will focus on integrating state-of-the-art generative AI solutions and applying advanced generative models. Your expertise will drive significant advancements across various industries for our clients, enhancing capabilities in data augmentation, retrieval-augmented generation (RAG) systems, virtual assistants, and more. Your role will be pivotal in expanding AI functionalities and fostering innovation in applications requiring realistic outputs.We are seeking a highly driven individual to become part of our talented engineering team. As a Generative AI Engineer, your primary responsibilities will include the development and implementation of cutting-edge generative AI models, tackling complex challenges, and delivering innovative solutions for our clients.Key Responsibilities:Implement and enhance generative AI models and tools such as GPT, LLama, Langchain, and Langfuse.Integrate existing third-party solutions (e.g., Microsoft Copilot) with proprietary methods to optimize generative AI capabilities within client operations.Collaborate with cross-functional teams to define AI project requirements and objectives that align with business goals.Conduct research to stay abreast of the latest advancements in generative AI, machine learning, and deep learning techniques, identifying opportunities for integration into our products and services.Optimize generative AI models for enhanced performance, scalability, and efficiency.Develop and maintain MLOPS pipelines, including data preprocessing, feature extraction, model training, and evaluation.Build and manage containerized AI back-ends using technologies like Docker and FastAPI.Create clear documentation, including technical specifications, user guides, and presentations, to effectively communicate complex AI concepts to both technical and non-technical stakeholders.Contribute to establishing best practices and standards for generative AI development within the organization.Provide technical mentorship and guidance to fellow team members in the area of generative AI.
Join Sopra Steria as an AI Engineer and be at the forefront of technology innovation. In this role, you will leverage artificial intelligence to create intelligent solutions that enhance business processes and drive efficiency.
Join Faktion as an AI Engineer and immerse yourself in a dynamic environment tackling multifaceted projects across various sectors, including manufacturing, finance, and operations. Here, you won't just create prototypes; you'll engage in profound engineering efforts, delivering production-ready solutions that are embraced and utilized by our clients. We are seeking a driven AI Engineer to be part of our expanding engineering team. Collaborate closely with software engineers and product managers to design, build, and deploy AI-powered solutions that create tangible benefits for our customers.Key Responsibilities:Design and implement comprehensive AI solutions, encompassing GenAI, classical ML, computer vision, and agentic systems, customized for enterprise clients.Translate complex customer challenges into clear technical architectures by engaging directly with clients to define requirements and set objectives.Develop and deploy production-ready AI backends using technologies such as Python, FastAPI, and Docker, ensuring a focus on reliability and scalability.Build and maintain evaluation pipelines, including LLM-as-a-Judge agents, to guarantee ongoing quality assurance from development through to production.Develop and sustain MLOps pipelines that cover data preprocessing, feature extraction, model training, and monitoring.Conduct research to stay updated with the latest advancements in generative AI, machine learning, computer vision, and deep learning, while identifying opportunities for application in our projects.Collaborate with cross-functional teams to ensure AI solutions meet business objectives and customer expectations.Create clear and concise documentation, including technical specifications and presentations, to articulate complex AI concepts to both technical and non-technical stakeholders.Provide technical mentorship and support to junior team members.
Full-time|Remote|Belgium; Dubai; Portugal; United Kingdom; United States
Join DataCamp as a Principal AI Engineer and be at the forefront of AI innovation. In this pivotal role, you will lead the development of groundbreaking AI solutions, driving our mission to make data science accessible to everyone. Collaborate with cross-functional teams to design, implement, and optimize AI-driven products that empower users worldwide.
Join our innovative team as a Lead Engineer for Generative AI Solutions where you will spearhead engineering initiatives aimed at revolutionizing various sectors through cutting-edge Multi-Agent AI, Generative AI Applications, Retrieval-Augmented Generation (RAG) technologies, and advanced language processing applications.Your role will involve guiding technical projects, mentoring engineers, and fostering innovation in applications requiring advanced language comprehension and realistic outputs. You will play a pivotal role in overseeing our proprietary 'Evaluation-Driven Development' processes across all AI initiatives.We are in search of a driven and experienced GenAI Lead Engineer to lead our skilled AI engineering team, empowering them to deliver robust, scalable, and impactful AI solutions that benefit our clients.Key Responsibilities:Lead the design, implementation, and enhancement of NLP and generative/agentic AI models utilizing various state-of-the-art frameworks and tools.Define and develop custom integrations with existing third-party solutions to provide exceptional generative AI capabilities tailored to our customer requirements.Collaborate strategically with cross-functional teams, including the Head of AI, AI Engineers, Full-Stack Developers, and Product Managers, to establish clear AI project requirements and objectives, ensuring alignment with business goals.Conduct proactive research to remain at the forefront of NLP and generative AI advancements, consistently identifying opportunities to incorporate pioneering techniques into Faktion’s offerings.Optimize and scale NLP and generative AI systems to achieve outstanding performance, efficiency, and operational reliability.Oversee the development and maintenance of robust MLOps pipelines, which include data preprocessing, model training, fine-tuning, evaluation, deployment, and monitoring.Build and manage containerized AI back-end services using technologies such as Docker and FastAPI.Create and maintain comprehensive documentation, including technical specifications, user manuals, and presentations to effectively communicate complex AI solutions to both technical and business stakeholders.Establish and continuously refine best practices, standards, and procedures within the NLP and generative AI engineering team.Provide technical mentorship, guidance, and leadership to engineers and junior team members, fostering a culture of growth and development.
At Lighthouse, we are dedicated to transforming commercial strategies within the hospitality sector. Our pioneering commercial platform simplifies data complexity, equipping businesses with actionable insights, advanced pricing tools, and state-of-the-art business intelligence to maximize revenue potential.With $370 million raised in Series C funding and an unwavering commitment to growth, we've successfully integrated five companies into our mission and achieved over $100 million in annual recurring revenue (ARR) as of 2024. Our diverse team of over 850 professionals spans 35 countries and represents 34 different nationalities.At Lighthouse, we foster a community-oriented environment. Collaborative, engaging, and deeply committed, we work together to revolutionize the hospitality industry. Are you ready to join us on this exciting journey? Your RoleAs a Senior AI Solutions Engineer, reporting to our Lead Enterprise Architect, you will be instrumental in our internal AI transformation. This role requires you to build the infrastructure that actualizes innovative ideas at scale. You will connect our growing portfolio of AI capabilities with the essential SaaS platforms powering our operations. This hands-on role will allow you to bridge business requirements with technical execution, ensuring our AI initiatives are both architecturally sound and scalable.Your ImpactDesign and develop robust, scalable integrations between our AI capabilities and core SaaS platforms such as Salesforce, HubSpot, and Slack.Create reusable integration patterns and architectural blueprints to empower teams in deploying AI solutions efficiently and consistently.Build and maintain a shared automation infrastructure that supports AI-powered processes across the organization.Serve as the technical partner for our AI Transformation Leads, translating business needs into detailed implementation plans.Prototype new AI solutions to assess technical feasibility before deploying them in production environments.Ensure compliance with data privacy and security standards, adhering to GDPR and SOC 2 requirements.Evaluate new AI tools and frameworks, delivering structured recommendations to guide our technology choices and foster innovation.About Our TeamAs a vital member of our Enterprise Architecture team, you will play a key role in Lighthouse's internal innovation efforts. We are the catalyst for transformative projects that redefine how we operate.
Role Overview anchr seeks an AI / ML Engineer to help transform software development and daily operations. The position centers on building an agentic development environment, anchr’s coding factory, where AI agents support a drawing program for electricians. This program relies on .NET with Uno Platform, providing a single codebase for desktop, web, and mobile applications. AI will play a key role across all business processes, with Odoo as the operational backbone. The AI / ML Engineer will collaborate closely with the product owner, developers, and business stakeholders to identify and deliver impactful AI integrations throughout the company. The long-term goal is to help anchr become an AI-native organization. What You Will Do Expand the coding factory: Set up and refine an agentic development pipeline. Oversee AI agents as they contribute to architecture, requirements, code, tests, security reviews, and documentation, all within the .NET / Uno Platform stack. Choose appropriate models, tools, and workflows. Maintain quality for AI-generated C#/XAML code and support reliable cross-platform delivery. Integrate AI into the product: Work with the product owner to design and implement AI features in the drawing program. Develop intelligent assistants for electricians, add automatic recognition and suggestions, and create generative features that function across all platforms. Embed AI in business operations via Odoo: Find opportunities to use AI for workflow improvement, automation, document processing, and predictive reporting. Build Odoo modules, extensions, or integrations to bring AI into daily work. Collaborate with colleagues to pilot, measure, and scale these solutions. Champion new coding methods: Direct AI agents, optimize agentic processes, and help the team adapt to new development approaches. Join discussions on architecture, performance, and security as the team evolves its practices. Share knowledge and mentor: Serve as a sparring partner for developers and business stakeholders, supporting team growth and understanding of AI-driven development. Location This role is based in Gent, Oost-Vlaanderen, België.
Join Rydoo as an AI Automation Engineer and be at the forefront of transforming our automation processes using cutting-edge artificial intelligence technologies. You will work alongside a talented team of engineers and data scientists to innovate and optimize automation solutions that enhance our operational efficiency.Your expertise in AI and automation will play a crucial role in analyzing complex systems, developing intelligent algorithms, and deploying reliable automation frameworks.
Join our dynamic Artificial Intelligence team at Datashift as a Generative AI Engineer. We are seeking a talented individual to innovate and develop AI solutions tailored to unique business challenges, particularly focusing on Generative AI applications.Your Key ResponsibilitiesDesign and implement AI solutions in collaboration with cross-functional teams to understand business requirements and identify necessary data for delivering substantial value.Contribute to proof of concepts to demonstrate the anticipated business impact of AI use cases.Maintain and enhance a scalable codebase for training, testing, and deploying machine learning models in production.Deploy robust ML pipelines in cloud environments.Stay abreast of emerging techniques and algorithms to refine model performance and accuracy.Collaborate with software engineers and DevSecOps to seamlessly integrate your models into existing customer infrastructures.Gather stakeholder feedback on outcomes and iterate solutions for continuous improvement.Mentor junior team members, providing technical guidance and support.Serve as a technical lead on specific projects as needed.
Company OverviewAxelera AI is not your typical deep-tech startup. We are pioneering a next-generation AI platform aimed at empowering individuals dedicated to enhancing humanity and improving the world around us.In just four years, we have successfully raised a remarkable $120 million and assembled a world-class team of over 220 employees, including more than 49 PhDs with upwards of 40,000 citations. Our team operates remotely across 18 different countries, with offices located in Belgium, France, Switzerland, Italy, and the UK, all while being headquartered at the High Tech Campus in Eindhoven, Netherlands.We have also introduced our Metis™ AI Platform, which delivers a 3-5x increase in efficiency and performance, and we maintain a robust business pipeline exceeding $100 million.Our steadfast commitment to innovation has firmly established us as a global leader in the industry.Are you ready to take on the challenge?Role OverviewWe are looking for a Senior AI Research Engineer with a strong background in developing and optimizing multimodal AI models. This pivotal role will contribute to enhancing our platform's capabilities in inference for Generative AI, working on cutting-edge models that integrate various data modalities (such as text, vision, and audio) for diverse applications.This is an exciting chance to engage at the intersection of advanced machine learning, in-memory computing, and high-performance AI inference on state-of-the-art hardware architectures.
