Lead Machine Learning Engineer - Computer Vision Expertise

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

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.

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 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.

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.

Lead Server Engineer (AI / GPU Infrastructure)Join a pioneering technology company at the forefront of innovation, specializing in groundbreaking 3D and imaging solutions powered by artificial intelligence and high-performance computing capabilities. Our ambition is to build a next-generation platform that facilitates the training and execution of complex ML/AI models on scalable, GPU-based infrastructure.In this role, you will be instrumental in designing and managing our entire compute infrastructure, ranging from GPU clusters to distributed systems and hybrid cloud architectures. Your expertise will not only influence operations but also define the system architecture, scalability, and performance.

Embrace your individuality at ABBYY, where we honor diverse work styles. With flexible working arrangements and a nurturing team environment, we reward your contributions as you focus on your development while advancing our collective success.Our values of respect, transparency, and simplicity empower trust, ensuring we consistently choose the right path for our team and clients.As a premier provider of AI solutions and intelligent automation, we tackle intricate challenges for our enterprise clients, optimizing their information to revolutionize their operations. Trusted by over 10,000 customers, including numerous Fortune 500 companies, you will enhance a portfolio that features prestigious names such as DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R Block.We are on the lookout for a talented Senior Software Engineer to lead the modernization and advancement of our C++ Computer Vision library, focusing on the creation of innovative algorithms for Intelligent Document Processing (IDP). This position demands deep technical knowledge to deliver high-performance Computer Vision solutions that will empower our product teams. Our extensive library encompasses algorithms spanning Classical Computer Vision, Machine Learning, Deep Learning, and state-of-the-art Multimodal models. The ideal candidate will architect and implement core library structures while mentoring their peers and collaborating across departments to ensure the sustained success of our vision technology. Significant experience with Computer Vision principles and algorithms is essential.

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

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 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 Instructure as a Senior Applied AI Engineer specializing in Retrieval and Semantic Systems. In this pivotal role, you will leverage your extensive expertise in artificial intelligence to enhance the capabilities of our products and deliver innovative solutions. You will collaborate with cross-functional teams to design, develop, and implement advanced AI models that optimize information retrieval and semantic understanding.

About the Role Wise is looking for an Engineering Lead to guide the Business Onboarding team in Budapest. This position focuses on improving how businesses join and use Wise, with a hands-on approach to shaping technical solutions and processes. What You Will Do Lead and mentor an engineering team dedicated to business onboarding projects Drive technical decisions and maintain high standards for code quality Collaborate closely with product and design to deliver smooth onboarding experiences Support the integration of Wise services for new business users Location This role is based in Budapest.

Role Overview Betsson Group is hiring a Lead Data DevOps Engineer to guide the Data DevOps team in Budapest. This position focuses on team leadership, technical direction, and ensuring smooth data operations within an agile setup. Key Responsibilities Lead and mentor a team of Data DevOps professionals. Work closely with cross-functional teams to align data operations with business needs. Shape and improve data architecture and data pipelines. Implement and promote strong data management and DevOps practices. Streamline workflows to deliver insights that support company goals. Location This role is based in Budapest.

Join our team as a Lead Data Engineer and play a pivotal role in shaping data engineering strategies at DEPT®. Our hybrid work environment spans across vibrant cities including Budapest, London, Manchester, Amsterdam, Rotterdam, Dublin, Zagreb, and Split.At DEPT®, we empower the world’s most ambitious brands to accelerate their growth, blending technology and marketing through our expert team of over 4,000 specialists. We are proud to partner with industry leaders such as Google, Lufthansa, Meta, eBay, and OpenAI, and have maintained our B Corp and Climate Neutral certifications since 2021.In our Data & AI practice, we are dedicated to producing groundbreaking work that leverages Data & AI across various sectors. As a member of our EMEA Data craft team, you will collaborate with data strategists, scientists, and analysts to tackle complex challenges faced by beloved global brands.As a Lead Data Engineer, you will guide your team in delivering innovative, enterprise-scale data solutions, combining your technical expertise with strong business insights to meet client objectives.

The Sportsbook division is expanding rapidly, and we are on the lookout for a talented Backend Engineering Tech Lead to join our innovative team. At Betsson, our world-class Sportsbook platform is developed entirely in-house, and we pride ourselves on our cutting-edge technology and agile approach to sports betting solutions. As we grow and enter new markets, we remain committed to providing an exceptional B2B sports betting experience across various regions.Life at Betsson is akin to a thrilling rollercoaster ride, filled with excitement and challenges. With over 2,800 employees from more than 75 nationalities, our diverse global workforce operates from five tech hubs located in Malta, Budapest, Stockholm, Tallinn, and Athens. If you thrive in an environment that fosters innovation and collaboration, you will fit right in.As a key player in our Sportsbook Technology team, you will help shape the future of our platform, which serves over 20 brands and offers a comprehensive sports betting experience. Your expertise will ensure that we deliver outstanding performance, functionality, and user experiences in the iGaming industry.

Role Overview Bosch Group is looking for a Lead Design Engineer focused on SiC Semiconductor Modules in Budapest. This role centers on designing and developing advanced semiconductor solutions. The position calls for technical leadership and close collaboration with cross-functional teams to deliver high-performance products for the market. What You Will Do Lead the design and development of SiC semiconductor modules Work with teams across multiple disciplines to ensure product performance aligns with market needs Contribute technical expertise to drive progress in semiconductor technology

Role overview Deutsche Telekom IT Solutions seeks a Lead Software Engineer for its Budapest location. This position combines hands-on technical leadership with responsibility for guiding a team of engineers. The main focus is on developing new applications and systems, ensuring reliability and quality throughout the process. Main responsibilities Lead and mentor a group of software engineers, supporting their professional growth Oversee the design and implementation phases for applications and systems Assist the team in addressing and resolving complex technical issues Location The role is located in Budapest.