Senior Applied AI Engineer - Retrieval and Semantic Systems

At Signifyd, we empower merchants to thrive by fostering trustworthy relationships with their customers. Our cutting-edge technology, coupled with a team that's genuinely dedicated to our clients' success, creates seamless shopping experiences that approve more legitimate orders, safeguard revenue, and enhance customer satisfaction.Trusted by thousands of top merchants across over 100 countries, we securely handle billions of transactions annually. Our people are at the core of our mission, propelling us forward with dedication, empathy, and creativity. Join us in our quest to enable fearless commerce by assisting online retailers in delivering exceptional customer experiences and combatting fraud. Discover our company values here!Signifyd’s Machine Learning team develops and maintains production ML models and risk management tools that are fundamental to our offerings. These models are a crucial aspect of our entire product suite.We assist businesses of all sizes in minimizing fraud risk while boosting their sales. By reducing false positive declines of legitimate buyers, we enhance the e-commerce experience for everyone and make fraud less rewarding for criminals.The team takes complete ownership of our decision-making engine, overseeing everything from research and development to online performance and risk management.We cherish collaboration and team ownership—no one should feel isolated while tackling challenging problems.Together, we support each other in developing our skills through peer reviews of experiments and code, group discussions to deepen our understanding of ML and statistics, and regular knowledge-sharing through live demonstrations, write-ups, and collaborative projects.Your Impact:Investigate emerging fraud patterns in real-time alongside our Risk Intelligence team.Enhance key components of the Signifyd Commerce Protection Platform.Articulate complex concepts to diverse audiences, including executives.Develop production machine learning models to detect fraud.Write production and offline code using Python and PySpark.Work with distributed data pipelines.Collaborate with engineering teams to reinforce our machine-learning pipeline.Required Experience:A degree in computer science or a related analytical field.3+ years of professional experience in machine learning or a related domain.Strong programming skills in Python and experience with machine learning frameworks.Familiarity with data processing and distributed systems.

Join ABBYY, a dynamic and innovative company that values your distinct work style. With flexible working arrangements, a collaborative team environment, and rewards that truly recognize your contributions, you can concentrate on what matters most—your professional growth and our collective success.Our dedication to respect, transparency, and simplicity ensures you can always rely on us to do the right thing.As a trusted partner delivering purpose-built AI and intelligent automation solutions, we tackle complex challenges for our enterprise clients, transforming how they do business. With over 10,000 customers, including numerous Fortune 500 companies, you'll have the opportunity to work with high-profile clients such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R Block.Key Responsibilities:Technical Leadership & ArchitectureLead architectural decisions for computer vision and multimodal systemsDrive the implementation of innovative ML techniques and best practicesFacilitate technical design reviews and architecture discussionsEstablish standards for model development and deploymentEvaluate and introduce new technologies and methodologiesEnsure technical excellence across machine learning initiativesTeam Mentorship & GrowthGuide and mentor both senior and junior machine learning engineersEncourage a culture of engineering excellence and knowledge sharingSupport the career development of team membersLead technical discussions and learning sessionsReview and provide feedback on technical strategiesHelp establish and maintain high engineering standardsTechnical Implementation & ScalingLead the development of complex ML systems and architecturesGuide the optimization of model performance and efficiencyEstablish frameworks for model evaluation and validationDrive improvements in development and deployment processesEnsure production quality and reliability of machine learning systems

Your Role As a Machine Learning Engineer at Betsson, you will be instrumental in the design, development, and deployment of cutting-edge machine learning models that optimize our offerings. Collaborating with diverse teams, you will tackle complex challenges and facilitate the integration of machine learning solutions throughout the organization. Your Responsibilities Include: Designing, implementing, and refining machine learning models to address intricate business challenges. Managing the complete machine learning lifecycle, from data acquisition and preprocessing to model deployment and performance monitoring. Collaborating closely with data scientists, software engineers, and product managers to seamlessly incorporate machine learning models into production environments. Staying informed on the latest machine learning advancements and applying innovative techniques to enhance model capabilities. Producing and maintaining high-quality, production-ready code for machine learning applications. Offering mentorship and guidance to junior team members, cultivating a culture of continuous improvement and learning. What We Seek: A Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline. 3-5 years of experience as a Machine Learning Engineer, showcasing a robust history of deploying models in live settings. Proficient in Python; familiarity with MLFlow and Spark is advantageous. Experience with cloud platforms such as AWS, GCP, or Azure, with a preference for AWS Sagemaker expertise. Strong analytical skills to dissect complex data sets and extract actionable insights. Exceptional communication abilities, capable of conveying intricate concepts to both technical and non-technical audiences.

Lead Machine Learning Engineer(Specializing in Computer Vision / Real-time Systems / GPU)We are seeking a talented Lead Machine Learning Engineer to join an innovative technology company focused on research and development. You will play a pivotal role in the creation of a next-generation imaging and 3D technology platform.The product is a groundbreaking solution currently under development and in the patent process, designed for real-time data processing and high-performance machine learning models.In this role, you will have full ownership of the machine learning stack—from model design through to production deployment.Key Responsibilities:Design, develop, and optimize machine learning modelsEstablish end-to-end ML pipelines (data collection → training → deployment)Build high-volume training workflows and evaluation frameworksDeploy models in a production environment and optimize for inferenceDevelop systems for monitoring, drift detection, and model lifecycle managementCollaborate closely with:The GPU infrastructure teamBackend and mobile developersProvide technical guidance, mentoring, and lead code reviewsQualificationsWhat We Are Looking For:7+ years of experience in Machine Learning engineeringStrong proficiency in Python and modern ML frameworks (such as PyTorch or TensorFlow)Experience in training large-scale models (GPU, distributed training)Deep understanding of:Model optimization and quantizationReal-time inferencePerformance tuningProven experience in building production ML systemsPreferred Qualifications:Experience with computer vision, imaging, or sensor dataFamiliarity with CUDA, ONNX, or TensorRTExperience with mobile-backend ML integrationBenefitsWhat We Offer:Opportunity to participate in pioneering technology developmentA high-impact role where you will make significant technical decisionsAccess to a modern, high-performance technological environmentClose collaboration with researchers and senior engineersStable yet innovation-driven operational culture

We are seeking a highly skilled and motivated Senior AI/ML Platform Engineer to join our dynamic team at Instructure. In this role, you will collaborate with cross-functional teams to design, develop, and enhance AI and machine learning platforms that power our innovative educational technologies. Your expertise in AI/ML frameworks will be pivotal in driving our product development forward.

Bosch Group is hiring a Data Scientist and AI Engineer in Budapest. This position centers on applying data analytics and artificial intelligence to improve products and processes. Role overview Work closely with colleagues from different disciplines to design and build machine learning models. The focus is on creating solutions that add value to Bosch Group’s offerings. What you will do Develop and implement machine learning models Use data analytics to identify opportunities for improvement Collaborate with cross-functional teams to integrate AI-driven solutions Requirements Experience in data science and artificial intelligence Ability to work with teams from various backgrounds Strong skills in building and deploying machine learning models

mpsolutions is searching for a Lead Infrastructure & Platform Engineer for Cloud & ML Serving to join the team in Budapest. This position centers on building and maintaining the core platform that delivers machine learning models in real time to a wide user base. The work supports AI and imaging projects, and offers the opportunity to shape both cloud and serving architecture from the ground up. Main responsibilities Design and maintain cloud infrastructure across AWS, GCP, and Azure. Deploy and scale machine learning models in production environments. Develop high-load backend systems, including APIs, inference pipelines, and data processing components. Contribute to production server code, not just operational tasks. Make platform-level decisions focused on performance, latency, and reliability. Requirements Minimum 8 years of experience in cloud, platform, or distributed systems roles. Deep knowledge of AWS, Kubernetes, CI/CD pipelines, and Infrastructure as Code (IaC). Hands-on experience with ML serving, GPU inference, and real-time systems. Strong programming skills in Python and C++ (beyond basic scripting). Understanding of scaling, latency, fault tolerance, and observability in production systems. Fluency in English. What makes this role different This position blends platform engineering, backend development, and machine learning serving. It is not a traditional DevOps job. Full ownership of the stack, from infrastructure through backend systems to ML model serving. Work on systems that handle real-world, high-scale traffic. Contribute in a startup environment where technical decisions directly shape the product. For those interested in building foundational platforms and making key technical choices, mpsolutions welcomes a conversation.

Join us in pioneering cutting-edge imaging and 3D technology, presently under provisional patent. As a Senior Software Engineer specializing in C++, you will play a vital role in the development of our next-generation platform, with significant exposure to machine learning systems.In this senior-level position, you will engage in the design, development, and maintenance of robust backend services, data pipelines, and application layers. You will translate machine learning concepts into dependable, production-grade systems while collaborating closely with ML engineers, GPU infrastructure teams, and product engineers. This role offers a unique opportunity to enhance your expertise in applied machine learning.

Join Kpler as a Senior BI Data Engineer and be a pivotal force in shaping our data architecture. In this vital role within our Business Intelligence & Insights team, you will develop scalable data pipelines, create robust data models, and establish reliable infrastructure that empowers teams across the organization with access to high-quality, accurate data. This position is ideal for someone who thrives in a fast-paced, international environment and enjoys addressing complex data challenges while designing systems that drive insights, reporting, and machine learning at scale. You will report directly to the Director of BI, collaborating closely with cross-functional teams to enhance data-driven decision-making across the company.

Join our dynamic team as a Talent & Learning Technology Team Lead at Kostal Group, where your expertise will help shape our approach to talent development and learning technologies. You will lead a skilled team to implement innovative solutions that enhance employee learning experiences and drive organizational success.

At Cision, we empower individuals to make a significant impact. Your voice matters, your ideas are appreciated, and your unique perspective drives our collective success. As part of our global team, you will thrive in an environment that champions curiosity, collaboration, and innovation. Your contributions will be meaningful in accelerating the brands we support. Join us in redefining communication and fostering authentic connections that truly matter. Whether you’re tackling complex challenges or spearheading innovative solutions, your growth is synonymous with our success. Together, we will shape the conversations of the future. Empower your impact at Cision. Be seen, be understood, be yourself. About the RoleCision boasts one of the largest media and content databases globally. Our data science team is dedicated to developing intelligent and high-impact features powered by machine learning and NLP.As a Staff Data Scientist, you will join our Machine Learning and Data Science team, focusing on the development and deployment of machine learning models directly utilized in our products. You will tackle complex, high-visibility challenges while collaborating closely with engineering, product, and analytics teams to transform prototypes into production-ready solutions.This position is perfect for an individual who demonstrates strong ownership, consistently delivers high-quality work promptly, and serves as a subject matter expert on key ML components or services. Key ResponsibilitiesDevelop and implement complex machine learning and NLP solutions end-to-end.Analyze extensive datasets to extract insights, design features, and inform modeling decisions.Collaborate with engineering teams to build, test, and deploy ML models into production systems.Create tools, frameworks, and reusable components that enhance model development independently.Work cross-functionally with product managers, engineers, and analysts to convert prototypes into production-grade models and services.Exhibit sound judgment regarding risk, workload management, prioritization, and escalation.Function as a go-to subject matter expert in your domain while significantly contributing to team commitments and delivery.

As a Learning Platform Superadmin & Product Governance Specialist, you will play a pivotal role in overseeing the management and governance of our learning platform. Your expertise will guide the strategic direction and operational excellence of our educational initiatives, ensuring that our platform meets the highest standards of quality and user engagement.

Join Instructure as a Senior Data Scientist specializing in Applied AI, where you will have the opportunity to harness the power of data to drive innovative solutions. In this role, you will collaborate with cross-functional teams to develop cutting-edge AI models that enhance our educational platforms. Your expertise will be critical in analyzing complex datasets, creating predictive models, and implementing machine learning algorithms that directly impact our products and users.

Join our dynamic team as a Digital Learning Specialist focused on T Cloud Public solutions. In this role, you will leverage your expertise to enhance our digital learning initiatives, ensuring impactful training experiences for our clients. You will collaborate with cross-functional teams to design and implement effective learning strategies that align with our business objectives.

Conduct scenario and impact assessments, forecasts, comprehensive analyses, and decision support materials for management utilizing machine learning models developed in Python.Model incentive elements of sales networks through predictive modeling techniques.Prepare, generate, develop, and automate regular and ad hoc sales reports from the data warehouse.Enhance and visualize sales reports using BI tools (Power BI).Participate in collaborative efforts with competence centers (BI and AI).Advance the sales data marketplace within the data warehouse, establishing unified data models.

Join Aumovio as an LLM Innovation Intern and dive into the cutting-edge world of language model technology. In this role, you will collaborate with a dynamic team to explore innovative applications of large language models, assisting in research and development projects that push the boundaries of AI. This is an exciting opportunity to gain hands-on experience in a forward-thinking environment while contributing to impactful AI solutions.

mpsolutions creates technology that transforms mobile phone cameras into scientific instruments. The Budapest team seeks a Lead Imaging Scientist to guide the imaging pipeline, shaping how raw sensor data becomes usable input for machine learning systems. What you will do Take ownership of the mobile camera imaging stack, managing each step from sensor data collection to final output. Process and calibrate raw camera data, ensuring it is ready for use in machine learning models. Act as the main technical connection among imaging, mobile development, and machine learning teams. See your work directly impact the final product. Role details Location: Budapest, Hungary Full-time English language skills required

Join us in developing a cutting-edge computational imaging and analysis platform that leverages proprietary machine learning and deep learning methodologies. Our innovative technology transforms standard smartphone cameras into sophisticated scientific instruments, facilitating advanced image analysis through a user-friendly consumer application. This role is situated in a well-funded, innovation-centric environment where engineering, research, and design converge to craft unique solutions.As a Senior R&D Project Manager, you will play a pivotal role at the nexus of innovation strategy, technical program management, and cross-functional leadership. Your expertise will ensure the smooth progression of intricate, research-intensive projects from initial concept to prototyping and eventual production.Key Responsibilities:Project & Program LeadershipOversee the complete delivery of R&D projects, from early concept development through validation and final deployment.Establish technical milestones, project timelines, and measurable outcomes throughout complex research workflows.Champion project execution in a landscape characterized by high ambiguity and shifting priorities.Cross-Functional Collaboration & Technical OversightFacilitate collaboration across multidisciplinary teams including ML/DL, computer vision, imaging, 3D, UX, and external partners.Maintain adequate technical depth to evaluate risks, dependencies, and trade-offs effectively.Ensure cohesive alignment among engineering teams, research experts, and leadership stakeholders.Innovation Strategy & DeliveryCollaborate with founders and technical leaders to shape intellectual property and innovation strategies.Translate groundbreaking research into scalable, real-world applications.Proactively eliminate obstacles and enhance processes to expedite innovation cycles.

Join us at the forefront of revolutionizing global capital markets! At ion, we provide cutting-edge analytics, news, and data solutions that empower millions of professionals worldwide. Our clientele includes influential investors, lawyers, consultants, traders, bankers, and executives, and we are dedicated to transforming their workflows through innovative technology. By becoming part of our team, you will engage in a culture that prioritizes continuous improvement and lifelong learning. Discover more about this exciting opportunity below.