Business Development Manager - AI Data Solutions

Join Canva as a Senior Machine Learning Engineer specializing in multimodal data.In this role, you will leverage advanced machine learning techniques to analyze and integrate diverse data forms, driving innovations that enhance user experiences across our platform. You will collaborate with cross-functional teams to develop and implement algorithms that power our features, optimize our services, and create data-driven insights.

As Canva continues to expand, so does the significance and potential of our AI-driven features. We are in search of a Machine Learning Engineering Manager to mentor a team of exceptional Research Scientists and Machine Learning Engineers, develop production-ready evaluation systems, and transform state-of-the-art ML capabilities into engaging product experiences. If you excel at bridging rigorous engineering with practical applications, and you are passionate about nurturing talent while tackling challenging technical issues, this could be the ideal role for you.About the Role:Your primary responsibility will be to lead and develop a high-performing team of Machine Learning Engineers and Research Scientists based in the EU, who are shaping the future of AI on a large scale. You will focus on establishing strategic technical direction, mentoring team members to deliver impactful engineering solutions, and ensuring the deployment of robust and scalable ML systems into production. You will advocate for engineering excellence and measurable outcomes, connecting foundational model capabilities with real-world applications throughout Canva's platform.This is a hands-on leadership position for someone who is dedicated to cultivating talent, developing a technical vision, and collaborating across functions to integrate cutting-edge AI into delightful user experiences.This role involves:Mentoring and coaching a high-performing team of Machine Learning Engineers and Research Scientists.Owning the evaluation infrastructure - design, build, and maintain robust evaluation systems, quality metrics, safety monitoring, red-teaming, and competitive benchmarking to ensure enterprise readiness and user satisfaction at scale.Creating automated metrics that accurately predict human aesthetic judgments across various dimensions such as visual hierarchy, layout coherence, typography, and brand alignment.Advising on human evaluation pipelines and closing the feedback loop between user signals and model enhancements.Establishing technical strategies aligned with Canva’s AI and product objectives.Guiding engineering efforts in model deployment, evaluation infrastructure, and production systems.Collaborating cross-functionally to ensure that ML capabilities deliver reliable product impacts.You are likely a fit if you:Have experience leading machine learning engineering teams, with a proven record of coaching and delivering production systems.Possess expert knowledge in deploying and scaling generative models (Diffusion, GANs, VAEs, LLMs) in production environments, particularly with a strong focus on visual models (image, video, design).Bring hands-on experience in building ML infrastructure, evaluation pipelines, and monitoring systems at scale.Excel at developing data-driven evaluation methodologies, transforming user analytics and production metrics into actionable insights.

Join us at Machine Learning Reply Austria, where we are dedicated to pioneering cutting-edge technology projects in collaboration with our esteemed clients. We are on the lookout for seasoned Full Stack Engineer consultants who possess a robust technical background.As part of the global Reply network, which includes sister companies in Italy and Germany and employs over 15,000 professionals worldwide, we are a rapidly expanding consultancy. Our focus is on addressing challenges through Web Development, Cloud technologies, Data Platforms, and appropriate organizational frameworks. We pride ourselves on being a cohesive, motivated team that actively participates in conferences and collaborates within our tech community.We provide tailored end-to-end cloud-based solutions that encompass the entire project lifecycle—from initial strategy consulting to data architecture and infrastructure issues, and ultimately to data processing and deployment of production-ready solutions.Our extensive expertise spans all stages of product implementation across key industries, including the German HDAX companies. By emphasizing open-source and cloud technologies, we empower our clients to successfully adopt new data-driven solutions and enhance existing processes and products, all while transitioning to cloud technologies.

Machine Learning Reply Austria partners with organizations to deliver projects in generative AI, web development, cloud, and data platforms. As part of a global network, the Vienna office collaborates with teams in Italy and Germany, contributing to a group of more than 15,000 professionals worldwide. The local team is growing, values collaboration, and regularly engages with the broader tech community and technology partners. Role overview The Senior GenAI Engineer (m/f/d) role focuses on both consulting and hands-on engineering for generative AI projects. The team builds custom end-to-end cloud solutions and supports clients throughout the entire project lifecycle, including strategic consulting, data architecture, infrastructure, data processing, and deploying production-ready systems. What you will do Develop and implement generative AI solutions for clients, balancing technical execution with consulting responsibilities. Work on projects that use open-source and cloud technologies. Guide clients through every stage of data-driven product development, from initial strategy to deployment. Assist organizations in major German HDAX industries as they adopt and enhance innovative data solutions. Team culture The Vienna team combines a laid-back atmosphere with a strong drive to deliver results. Collaboration and continuous learning are central values, and team members actively participate in the tech community while maintaining close ties with technology partners. Location This position is based in Vienna, Austria.

SteerBridge Strategies is a forward-thinking technology firm dedicated to providing innovative, mission-driven solutions for both the U.S. Government and private sector. Our team leverages extensive experience in federal acquisition, digital transformation, and emerging technologies to offer agile, commercial-grade capabilities that enhance operational effectiveness and drive measurable mission success.At SteerBridge, our greatest asset is our people—especially the veterans whose leadership, innovative problem-solving abilities, and unwavering commitment to excellence elevate every project we undertake. We don't just recruit top-tier talent; we nurture it, creating meaningful career pathways for veterans, military spouses, and professionals who share our enthusiasm for advancing technology and enhancing the missions we support.We are currently seeking a Senior Data Engineer to join our team in supporting the Department of Veterans Affairs (VA) in its efforts to modernize disability claims processing systems. This initiative aims to enhance the accuracy, efficiency, and timeliness of services delivered to veterans.As a Senior Data Engineer, you will play a pivotal role in designing, developing, and optimizing scalable ETL pipelines, data lakes, and data retrieval systems. Collaborating with cross-functional teams, you will ensure data integrity, develop automated workflows, and support compliance reporting and analytics capabilities.

Join Machine Learning Reply Austria as we push the boundaries of innovation in cutting-edge technology projects. We are on the lookout for seasoned Data Science consultants with a robust technical foundation to collaborate with our clients.With a global presence of over 15,000 employees, Machine Learning Reply and its sister companies in Italy and Germany are at the forefront of consultancy, dedicated to addressing complex challenges involving Web Development, Cloud technologies, Data Platforms, and more. Our team is a cohesive, motivated group with a passion for engagement in conferences and tech communities.We specialize in delivering bespoke end-to-end cloud solutions that encompass the entire project lifecycle—from strategic consulting to data architecture, infrastructure management, and the deployment of production-ready systems.Our extensive expertise spans all stages of product implementation across key industries, particularly within the German HDAX companies. By leveraging open source and cloud technologies, we empower our clients to implement and optimize innovative data-driven solutions while adapting to cloud environments.Key Responsibilities:Analyze and identify problem solutions in collaboration with clients.Design and propose effective solutions, optimizing and deploying them into production.Develop and implement state-of-the-art algorithms, automating workflows in an agile setting.Stay abreast of technological advancements and collaborate with leading technology firms.Act as the main bridge between the technical team and management to fulfill business objectives.What We Offer:A competitive gross monthly salary starting at €3,215 (Consultant) or €4,286 (Senior Consultant), based on experience.Opportunities to work on diverse projects across various industries, including Banking, Insurance, Automotive, and Retail.An active social program featuring conference funding, team-building activities, and group events.Recognition for innovative contributions to encourage personal growth.A collaborative, open, and flat organizational environment.

Join Sportradar as a Senior Data Scientist, where you will leverage your expertise in data analysis, statistical modeling, and machine learning to drive insights in the sports industry. You will collaborate with cross-functional teams to develop innovative solutions that enhance our data offerings.

Machine Learning Reply Austria is part of the Reply group, a consultancy with a global team of over 15,000 professionals and sister companies in Italy and Germany. The company focuses on advanced technology projects, including web development, cloud technologies, data platforms, and building effective organizational structures. Role overview The Senior Data Scientist (m/f/d) position in Vienna centers on consulting and technical expertise. The team values collaboration and motivation, maintaining a relaxed and supportive work environment. Team members often participate in conferences and contribute to the broader technology community. What you will do Develop customized, end-to-end cloud solutions for clients, managing the full project lifecycle Contribute to strategy consulting, data architecture, infrastructure management, and data processing initiatives Deploy production-ready solutions across various industries, with a focus on German HDAX companies Use open-source and cloud technologies to help clients build and refine data-driven products and processes Team and culture The Vienna office brings together a close-knit group that values knowledge sharing and a relaxed, motivated approach. Staying engaged with the tech community is an important part of the team’s culture.

Join Machine Learning Reply Austria, where we are dedicated to collaborating on innovative technology projects that drive success for our clients. We are currently on the lookout for skilled GenAI Engineer consultants who possess a robust technical foundation.As part of Machine Learning Reply, which operates alongside our sister companies in Italy and Germany and employs over 15,000 professionals globally, our fast-growing consultancy specializes in tackling challenges related to Web Development, Cloud technologies, Data Platforms, and the essential organizational frameworks that support them. Our team is a close-knit, relaxed, yet highly motivated group that actively participates in conferences and engages with a community of practice alongside our technological partners.We provide customized end-to-end cloud solutions that encompass the entire project lifecycle—from initial strategy consulting to data architecture, infrastructure management, data processing, and the deployment of production-ready solutions.With extensive expertise across all stages of product implementation in key industries, particularly among German HDAX companies, we leverage open-source and cloud technologies to empower our clients to implement new data-driven solutions and optimize their existing processes while adapting to cloud innovations.

Machine Learning Reply Austria partners with clients to deliver technology projects centered on web development, cloud platforms, and data solutions. The Vienna-based team works closely with colleagues in Italy and Germany, forming part of Reply’s global network of over 15,000 professionals. A collaborative and motivated culture shapes their approach, and the team regularly takes part in conferences and technology community events. Role overview The Senior Full-Stack Engineer (m/f/d) position focuses on consulting and hands-on engineering for cloud-based solutions. This role covers the entire project lifecycle, from strategy and architecture through deployment and production. Projects often involve web development, data processing, and infrastructure challenges for clients in various industries, with particular attention to German HDAX companies. What you will do Work as part of a close-knit engineering team to deliver cloud-based, data-driven solutions Contribute to every phase of the project lifecycle, including consulting, architecture, and deployment Use open source and cloud technologies to help clients implement new solutions and improve existing processes Collaborate with colleagues across Austria, Italy, and Germany Participate in conferences and community events alongside technology partners How the team works Projects span the full implementation cycle and place strong emphasis on open source tools and cloud innovation. The team helps clients adapt products and processes to data-driven approaches, always aiming to deliver solutions ready for production use.

At Machine Learning Reply Austria, we are dedicated to pioneering state-of-the-art data science initiatives for our clients. We are on the lookout for Data Frameworks Consultants who possess a robust background in economics and IT, serving as a vital link between strategic consulting and data science.As part of the larger Machine Learning Reply family, which includes our esteemed sister companies in Italy and Germany and boasts over 15,000 employees globally, we are a rapidly expanding consultancy committed to tackling challenges through innovative Data Science solutions and the appropriate organizational frameworks. We pride ourselves on being a cohesive and motivated team, actively engaging in conferences and collaborating with our tech partners in communities of practice.If you bring experience in strategic project management and execution with a focus on fostering data-driven business models, or if you are a recent graduate who has gained initial exposure to big data technologies and strategic thinking, we want to connect with you.Are you a technology enthusiast at heart and aspire to be a Strategy Consultant? Do you maintain an unwavering focus, driven by numbers, while being passionate about data storytelling?We integrate what is essential. By collaborating with Data Scientists and Data Engineers, we empower our clients with cutting-edge open-source technology, enabling them to transition into truly Data-Driven organizations. Engaging with upper management, we thoroughly analyze our clients' core businesses, generate tangible value, and deliver solutions that others can merely envision.As a Data & AI Strategist, your role will involve advising clients on how data usage influences strategic decisions and how Advanced Analytics can unveil new operational avenues. You will work alongside technical specialists in big data and data science, so while hands-on experience is not mandatory, a genuine interest is expected.Depending on project scope and your interests, your work may include:Conducting analyses of client business needs to create pathways for data strategy initiatives.Participating in implementation projects as part of a team alongside Data Scientists and Data Engineers.Facilitating C-Level decision-making by providing business cases, qualitative assessments, and workshops.You'll have the opportunity to work across various industries including banking, insurance, automotive, retail, and more, ensuring a rich cross-industrial learning experience.

Machine Learning Reply Austria is expanding its consulting team in Vienna. The group specializes in data science projects that help organizations build data-driven business models. With operations across Austria, Italy, and Germany, and a global network of over 15,000 colleagues, the team collaborates closely with technology partners and takes part in conferences and community events. Role overview The Data & AI Strategy Consultant position bridges economics, IT, and data science. This role connects strategic consulting with technical teams, guiding clients as they make decisions based on data and advanced analytics. Both experienced consultants and recent graduates with exposure to big data and strategic thinking are welcome to apply. What you will do Analyze client business needs and design data strategy projects Collaborate with Data Scientists and Data Engineers on implementation efforts Support C-level executives by developing business cases, conducting qualitative assessments, and facilitating workshops Projects cover industries such as banking, insurance, automotive, and retail, offering a wide range of learning opportunities. Requirements Educational background in economics and IT Interest in data science and big data technologies Comfort working with numbers and communicating insights through data Motivation and focus to develop as a Strategy Consultant Strong communication skills for working with technical teams and senior management Direct experience in big data or data science is not required, but a genuine interest in these fields is important.

Sportradar AG is looking for a Senior Software Engineer with a focus on data to join the Vienna office. This position centers on building and maintaining data solutions that support the sports industry. Role overview The Senior Software Engineer - Data will design and develop systems for processing large volumes of sports data. The work involves improving data accuracy and reliability, contributing to the foundation of Sportradar's data-driven products. What you will do Develop and maintain data processing systems tailored to the needs of the sports sector Work to ensure the accuracy and reliability of collected and processed data Contribute expertise to create solutions that support innovative uses of sports data Requirements Significant experience as a software engineer working with data systems Strong motivation to solve complex data challenges Ability to deliver reliable and accurate solutions

Machine Learning Reply Austria, located in Vienna, is part of a global consultancy specializing in technology projects for clients across various sectors. The team focuses on web development, cloud technologies, and data platforms, working together in a collaborative and motivated setting. Regular involvement in conferences and technology community events is part of the group's culture. Role overview The Senior Cloud Engineer position is based in Vienna, Austria. This role involves delivering customized, end-to-end cloud solutions as part of a team. Projects span the full lifecycle, including strategic consulting, data architecture, infrastructure management, and the deployment of production-ready systems. What you will do Consult with clients on cloud technology projects, offering technical expertise throughout each engagement Design and implement cloud architectures for clients in various industries, with a particular focus on German HDAX companies Manage infrastructure and oversee the deployment of cloud-based solutions Support clients in adopting new data-driven approaches and optimizing existing products and processes using cloud and open-source technologies Team culture The team values close collaboration and knowledge sharing. Members are encouraged to connect with technology partners and the broader tech community. The environment supports ongoing professional growth and learning, both within the company and through participation in external events.

At Machine Learning Reply Austria, we are dedicated to delivering cutting-edge technology solutions that empower our clients. We are currently on the lookout for skilled Cloud Engineer consultants who possess a robust technical background and a passion for innovation.Part of a dynamic network of over 15,000 employees at Reply globally, Machine Learning Reply specializes in solving complex challenges through Web Development, Cloud Technologies, and Data Platforms, supported by the right organizational frameworks. Our team is collaborative, relaxed, yet intensely motivated, actively engaging with communities and participating in conferences alongside our tech partners.We provide comprehensive, customized cloud-based solutions that encompass the complete project lifecycle—from initial strategy consulting and data architecture to infrastructure management and the deployment of production-ready solutions.Our extensive expertise covers every phase of product implementation across key industries, including the German HDAX companies. By leveraging open-source and cloud technologies, we enable our clients to successfully adopt new data-driven solutions and enhance existing processes and products while transitioning effectively to cloud environments.

ABOUT US:Welcome to Sportradar ad:s, where we specialize in delivering data-driven marketing and sponsorship solutions tailored for the iGaming sector. Our innovative tools and services address the unique marketing requirements of sportsbooks and media publishers globally. Picture yourself immersed in a vibrant environment filled with sports data, live statistics, virtual sports, microservices, and betting—while embracing an agile mindset and a dedication to providing outstanding value to our clients. We are passionate about our work and genuinely care about our team. If you are eager to take on this challenge, join us in our journey of growth, innovation, and development!The Sports Data team is responsible for constructing and maintaining the data pipelines and processing systems that underpin our entire division. We provide clean, reliable, and real-time data through scalable services and APIs, allowing other teams to easily access and utilize data for new features, products, and innovations. By leveraging cloud-native technologies, automated pipelines, and infrastructure-as-code (IaC), we ingest, process, and distribute high-quality data at scale to enhance value across the organization.THE CHALLENGE:In the role of (Senior) Software Engineer for Sports Data (m/f/d) at Sportradar, you will engage with various components of the software stack, contributing to API development, testing, and documentation. You will be part of a collaborative, cross-functional team and play a vital role in delivering high-quality software that drives business value. This position presents an exciting opportunity for engineers who are keen on utilizing cutting-edge technologies to create scalable, reliable systems. If you thrive on solving technical challenges, learning from peers, and evolving in an innovative environment, we would be thrilled to have you on our team.Key Responsibilities:Collaborate and grow within a small, self-organized, agile software development team.Create robust and scalable back-end services and APIs for our advertising technologies utilizing modern frameworks and tools.Engage in the design and development of reliable, secure, and efficient data pipelines and systems while emphasizing quality, observability, and security.Mentor and develop team members by offering feedback and technical guidance.

Join Esri as an Enterprise Data Engineer, where you will play a crucial role in designing and implementing data solutions that drive innovation. You will collaborate with cross-functional teams to ensure quality data integration, modeling, and management. If you are passionate about harnessing the power of data to solve complex problems, this is the perfect opportunity for you!

At Canva, we are on a mission to empower individuals to unleash their creativity through design. We are innovating with artificial intelligence to deliver transformative experiences for millions, enabling everyone to design with confidence. We are seeking a passionate and experienced Senior Research Scientist specializing in reinforcement learning, agentic systems, and mixture of expert models to advance the boundaries of reasoning, tool usage, latency, and reliability, ultimately delivering impactful solutions to our users.About the TeamOur team engages in exploring multimodal agentic architectures, creating scalable training and evaluation loops, and collaborating closely with product and platform teams to translate our breakthroughs into user-friendly product features. As part of a pioneering post-training team, we are focused on developing state-of-the-art multimodal agentic systems, addressing various aspects of multimodal modeling, post-training methodologies, and design agents. We are in search of a candidate with robust experience in post-training, reinforcement learning (RL), and mixture of expert models to join our innovative group.About the RoleYou will lead research initiatives and be actively involved in hands-on tasks throughout the agent stack—from reward design and policy optimization to planning, memory management, and tool orchestration, as well as dataset construction and the development of cutting-edge post-training approaches. You will conduct tightly controlled experiments, iterate rapidly, and draw trustworthy conclusions. Most importantly, you will play a key role in converting research insights into reliable, safe, and high-quality product experiences.Your ResponsibilitiesDesign and develop agent systems (including planning, multimodal tool usage, retrieval, novel training approaches, and modeling ablations) for practical applications in design, vision, and language.Enhance post-training and RL processes across distributed systems (using PyTorch) while ensuring efficient data loaders, telemetry, stable training of mixture-of-experts (MoE) architectures, and reproducible pipelines; profile, debug, and optimize performance.Contribute to the research agenda for RL and agentic systems that align with Canva’s product objectives; quickly identify high-leverage opportunities and eliminate dead ends.Develop reward models and learning loops, including RLHF/RLAIF, preference modeling, DPO/IPO-style objectives, offline and online RL, curriculum learning, and credit assignment for multi-step reasoning.Create simulation and sandbox tasks that reveal failure modes (such as planning errors, tool-use brittleness, hallucination, and unsafe actions) and turn these into measurable targets.Establish rigorous evaluation standards for agents (task success, reliability, latency, safety, regressions). Implement offline suites and online A/B tests, prioritizing straightforward, controlled experiments that yield generalizable results.Work collaboratively with product, design, safety, and platform teams to successfully integrate research findings into dependable features.

Join Esri as a Technical Consultant specializing in Enterprise Data Engineering. In this role, you will leverage your expertise in data management and engineering to help organizations harness their data for actionable insights. You will work closely with clients to design and implement data solutions that improve efficiency and drive decision-making.