Lead Principal AI/ML Scientist & Engineer

At Pipedrive, we recognize that exceptional products are the result of exceptional people. Our team embodies our core values, and we prioritize these in our hiring process. Since our inception in 2010, we have been dedicated to empowering sales and marketing teams with intuitive, robust tools that streamline daily operations. Today, our cloud-based platform …

About UsAt Melotech, we are transforming the media and entertainment landscape by creating art through innovative technology. In just two years, our creations have captivated audiences for over 3 billion minutes globally. Founded by visionary entrepreneur Soheil Mirpour, we are financed by leading venture capitalists including Cherry Ventures, Speedinvest, and GFC, along with distinguished angel investors from esteemed firms such as Spotify, Blackstone, and KKR.Your RoleAs an AI/ML Engineer Intern, you will serve as the technical foundation of our content platform. You will confront essential challenges such as: How do we construct scalable ML systems that cater to millions while ensuring low latency? What is the most effective architecture for training and deploying models that can analyze cultural trends in real-time? How can we utilize state-of-the-art models to enhance the creative process without sacrificing quality? Working independently alongside our founder and team, your solutions will significantly impact our company's trajectory. Your day-to-day responsibilities will include:Building and deploying production-ready ML models within our content ecosystem.Designing scalable ML infrastructure and pipelines to manage extensive media datasets.Implementing inference systems for optimizing content across various sectors.Fine-tuning and deploying multimodal AI systems using best practices in MLOps.Collaborating with data science teams to transition research models into production systems.Optimizing model performance for cost efficiency while upholding accuracy and speed standards.Integrating ML features into existing platforms and developing APIs for seamless model access.Your ProfileYou are an aspiring ML engineer focused on production, adept at connecting advanced technology with scalable systems. Your strengths lie in establishing robust ML infrastructures that empower real-world applications at scale. You excel in dynamic environments where your technical choices significantly influence business results and user experiences. Your qualifications typically include:A degree in Computer Science, Machine Learning, Mathematics, Engineering, or a related technical field.3+ years of practical ML engineering experience, building production systems within major tech firms, high-growth startups, or media/entertainment platforms.Proficiency in programming languages such as Python and familiarity with ML frameworks like TensorFlow or PyTorch.Strong analytical and problem-solving skills alongside effective communication abilities.

At Intercom, we are revolutionizing customer service with our AI-driven solutions. Our flagship AI agent, Fin, empowers businesses to provide exceptional customer experiences by offering seamless, always-on support. Fin integrates with our Helpdesk to form the comprehensive Intercom Customer Service Suite, designed to tackle complex queries that benefit from human touch.Founded in 2011, Intercom has gained the trust of nearly 30,000 global businesses by setting new benchmarks in customer service. Our core values drive us to innovate relentlessly, work with agility, and deliver unparalleled value to our clients.Berlin's dynamic environment, rich in technical talent and creative energy, aligns perfectly with our vision. We are excited to expand our team and invite top engineers from around the world to join us in shaping the future of customer communication.As we aim to recruit 100 professionals across various disciplines in Berlin, this is an exceptional opportunity to be part of a pioneering R&D team and make a significant impact in the rapidly evolving customer service landscape.What’s the opportunity?As a Principal Engineer at Intercom, you will spearhead the definition and execution of strategic initiatives within our engineering organization. Your role encompasses building both back-end and front-end systems while collaborating closely with designers, product managers, researchers, and data analysts. You will also mentor fellow engineers and work closely with Group Engineering Managers to shape technical strategies and leadership.Discover more about our engineering culture at intercom.engineeringWhat will I be doing?As a seasoned engineer, your responsibilities will include:Leading strategic projects within the R&D organization, utilizing your mastery of domain knowledge.Providing insights on project progress, risks, and challenges to engineering leadership, facilitating effective resource allocation and prioritization.

Join our innovative AdTech data science team as a Principal Data Scientist focused on Vendor Recommendations and AI, and help us enhance customer experiences.At Delivery Hero, you will play a crucial role in supporting the success of numerous restaurants, shops, and local businesses. Your insights will enable vendors to harness advanced tools for operational management, enhancing their visibility and market reach. Each feature you contribute to will create growth opportunities for diverse businesses, fortifying Delivery Hero’s ecosystem.Our AdTech division connects consumers with new culinary delights while allowing our partners to engage potential customers at the right moment. We have crafted a suite of products that deliver advertising solutions to restaurants, aiding them in boosting visibility, improving order conversion, and ultimately driving increased sales across the marketing funnel. Operating in over 50 countries, our AdTech connects ideal advertisers with their target customers millions of times daily. The data science team is pivotal in this growth, enhancing personalization, ranking, relevance, and recommendations.Ownership: Spearhead the design, construction, and deployment of comprehensive AI recommendation systems that yield multi-million-euro business results for the vendor sector.NBA Framework: Manage the architecture and modeling to establish the best sequence and timing of actions (e.g., ad recommendations, promotional offers) to optimize vendor success metrics.Time-Series & Forecasting: Direct vital initiatives in advanced time series modeling for demand forecasting, vendor projections, and analyzing long-term vendor trends.Commercial Insights: Serve as the technical authority for take rate optimization, utilizing statistical rigor and causal methodologies to evaluate the impact and efficiency of vendor-facing pricing and ad tech strategies.Cross-Functional Collaboration: Be the lead technical partner for Product, Engineering, and Commercial teams to validate business hypotheses and align on the recommendations strategy.

At SumUp, our mission is to empower small businesses by providing them with accessible and user-friendly tools for payments, finance, and customer relationships. We are a dynamic team grounded in our core values: Founder’s Mentality, Team First, and We Care. We foster an organization that is people-oriented, disciplined, and consistently innovating from within. Agility is at the heart of what we do, and we strive to create an environment that nurtures it. As part of our Global Operations team, you will play a pivotal role in enhancing the customer experience in fintech. The Senior AI/ML Engineer position is essential for the development and deployment of cutting-edge AI solutions that streamline support processes and significantly enhance the experience for our merchants and support agents. You will be a central figure in building and maintaining the ML infrastructure and tools that support our core products utilizing advanced AI/ML models. This role is vital for sustaining our growth, particularly as we expand complex applications such as our AI Assistant and translation tools.

About UsAt reliant-ai, we are dedicated to transforming decision-making in an age of overwhelming information. Our mission is to develop the next generation of machine learning software, leveraging generative AI to analyze critical data sources and deliver comprehensive, factual answers to complex inquiries.We believe that the true potential of generative AI can only be achieved by tackling the world's most significant information challenges. With over two decades of expertise in reinforcement learning and natural language processing, we are poised to make a substantial impact in this field.Our team consists of scientists, builders, and entrepreneurs who have pioneered some of the most influential AI applications. Having led teams at industry giants like Google, DeepMind, and EY Parthenon, we now connect cutting-edge AI research with the biopharma sector.

Join Intercom as a Principal Engineer focusing on our Fin AI Agent, where you'll play a crucial role in shaping the future of financial technology. You will lead the design and development of AI-driven solutions that enhance customer engagement and streamline financial processes.

About Our ClientFounded in Canada in 2015, our client has rapidly expanded to encompass a global portfolio of over 118 companies. They specialize in acquiring and developing vertical market software firms, empowering each business to deliver top-notch mission-critical solutions tailored to their industry's needs. A cornerstone of our client's philosophy is to invest in well-established enterprises while cultivating an entrepreneurial atmosphere that transforms these companies into industry leaders. Their strategic approach focuses on building long-term partnerships with existing management to create and enhance value.About the RoleAs the AI Engineering Lead, you will assume a pivotal leadership role in defining and executing the company's AI strategy. You will be responsible for the practical integration of AI across our client's engineering framework, enhancing internal development and testing processes to improve efficiency and quality. Additionally, you will oversee the development of AI-driven product features that provide tangible benefits to users. In this position, you will ensure alignment between engineering, product management, and data science teams, translating innovative ideas into actionable solutions and guiding teams to unlock their full potential through effective AI integration.Key Responsibilities AI Strategy & Vision: Develop a comprehensive AI roadmap that aligns with business objectives; identify opportunities for AI/ML applications in internal workflows (e.g., code generation, automated testing, monitoring); collaborate with product leadership to design and implement AI-enhanced product features. AI Integration into Engineering Practice: Spearhead the deployment of AI tools within the Software Development Life Cycle (SDLC) (e.g., GitHub Copilot, CodeWhisperer, Tabnine); automate unit testing, static code analysis, and regression testing leveraging AI; guide the application of AI in CI/CD pipelines for improved monitoring, alerting, and predictive operations. AI Product Development: Design and oversee the creation of AI/ML models and AI-enhanced product features; ensure adherence to best practices in AI/ML, including model training, data governance, validation, and ethics; select and manage the necessary infrastructure (e.g., cloud GPU/TPU, model operations platforms like MLflow or Vertex AI). Team Leadership & Cross-Function Collaboration: Lead a team of AI engineers, data scientists, and MLOps personnel; collaborate with product, design, and stakeholders to ensure AI features align with user value; mentor engineering teams on responsible AI usage, prompt engineering, and model comprehension. Governance & Compliance: Establish standards for responsible and explainable AI; ensure compliance with regulatory and ethical guidelines (e.g., GDPR, fairness, transparency); monitor model performance to prevent drift or unintended behaviors.

Join 1global as a Team Lead in AI Engineering, where you will spearhead innovative projects and lead a team of talented engineers. Your expertise will drive the development of cutting-edge AI solutions that enhance our services and create lasting impact. Collaborate with cross-functional teams to define project goals, manage resources, and ensure timely delivery of high-quality results.

Role Overview airapps is looking for an AI/ML Engineer to help design and build machine learning models. This role works closely with a skilled team focused on using technology to improve processes and outcomes. Location Berlin Metropolitan Area

About Parloa Parloa is dedicated to transforming customer interactions into seamless experiences. As the demand for agentic AI grows, our team is at the forefront of redefining customer support, ensuring that every interaction is not just a transaction but a meaningful exchange. With the power of AI, we have facilitated over one billion interactions for leading global brands like IKEA and Booking.com, implementing our solutions at scale. About the Role: We are looking for a Principal Applied Scientist who will spearhead our applied AI strategies, focusing on AI agents and Generative AI. This role is both hands-on and impactful, bridging the gap between research and production. You will explore, validate, and enhance methodologies that directly influence our products, including model evaluation, agent behavior, and context engineering. You will also define the metrics for measurement and improvement across the industry. In addition to execution, you will serve as a technical leader, identifying opportunities and building a robust framework for applied science at Parloa. Areas of Ownership: Define and lead applied AI initiatives focused on agent systems, LLM evaluation, and model optimization. Manage ambiguous problem spaces end-to-end: from conceptualization and experimentation to real-world impact. Design and implement evaluation & benchmarking frameworks, challenging existing industry standards and creating new benchmarks where necessary. Drive innovation in agentic systems, including routing, memory, and context engineering. Prototype and validate new methodologies, such as model combinations and fine-tuning strategies. Translate research into production-ready solutions in close collaboration with engineering teams. Act as a technical authority, mentoring team members and establishing best practices. Establish and lead the Applied Science guild, promoting knowledge sharing and elevating standards across teams. Influence product and technical strategy, pinpointing how applied science can drive maximum value. Who You Are: 12+ years of experience in applied science or a related field. Proficient in AI agent technology and generative models. Strong problem-solving skills with a passion for innovation. Exceptional leadership and mentoring abilities. Ability to collaborate effectively across teams.

About UsAt Melotech, we are transforming the media and entertainment landscape by merging art with technology, crafting experiences that resonate with audiences globally. In just two years, our innovative projects have garnered over 3 billion minutes of engagement worldwide.Founded by visionary entrepreneur Soheil Mirpour, we are proudly supported by leading venture capitalists including Cherry Ventures, Speedinvest, and GFC, along with esteemed angel investors from top firms such as Spotify, Blackstone, and KKR.Your RoleAs a Machine Learning Engineer at Melotech, you will be the pivotal force driving our content platform. You will face essential challenges: How can we construct ML systems that efficiently serve millions while ensuring low latency? What is the best architecture for developing and deploying models that interpret cultural trends instantaneously? How can we harness advanced models to enrich creative processes without compromising quality? Your autonomous work will directly shape our success, collaborating closely with our founder and team. Daily responsibilities may include:Building and implementing production-grade ML models within our content ecosystem.Designing scalable ML infrastructure and pipelines to manage extensive media datasets.Creating inference systems for content optimization across various sectors.Tuning and deploying multimodal AI systems utilizing MLOps best practices.Partnering with data science teams to transition research models into production-level solutions.Enhancing model efficiency for cost-effectiveness while ensuring accuracy and rapid response times.Integrating ML functionalities into existing platforms and developing APIs for streamlined model access.Your ProfileYou are an ML engineer focused on production who connects cutting-edge technology with scalable systems. Your expertise lies in constructing resilient ML infrastructures that support real-world applications at scale. You thrive in dynamic environments where your technical choices significantly influence business outcomes and user experiences. Your qualifications typically include:A degree in Computer Science, Machine Learning, Mathematics, Engineering, or a related field.3+ years of practical ML engineering experience developing production systems at leading tech companies, high-growth startups, or in the media/entertainment sector.Strong grasp of machine learning frameworks and libraries.Experience with cloud platforms and deployment strategies.Proficiency in programming languages such as Python, Java, or C++.

Join leapsome as a Lead AI Product Engineer and play a pivotal role in shaping innovative AI-driven products that enhance user experience and drive business success. In this dynamic position, you will lead a team of engineers, collaborate with cross-functional teams, and develop cutting-edge solutions that leverage the latest advancements in artificial intelligence.

Role overview Delivery Hero SE seeks a Senior AI Scientist for the Vendor Data Team in Berlin. This role centers on Agentic AI, with a focus on enhancing how vendor data supports the company’s operations. What you will do Create AI-driven solutions to improve vendor data processes and capabilities Collaborate with colleagues from various backgrounds to design, build, and refine AI models Use expertise in artificial intelligence to address business challenges and inform important decisions

Join Delivery Hero as a Principal Engineer specializing in AdTech. We are looking for a highly skilled individual to lead our engineering initiatives within the advertising technology space. You will work closely with cross-functional teams to enhance our platform, ensuring a seamless and innovative experience for our users.In this role, you will mentor junior engineers, drive technical decisions, and contribute to the architectural vision of our advertising systems. Your expertise will play a crucial role in shaping the future of our AdTech solutions.

About commercetoolsAt commercetools, we believe that true innovation is rooted in a solid foundation, achieved through the right synergy of our products and our talented people. Our team is made up of visionary builders, adventurous explorers, and creative problem-solvers. These are the individuals who have not only transformed commerce architecture with a more flexible approach but also fostered a culture of experimentation that drives our success. Together, we are the pulse of commerce innovation today. We empower the next generation of commerce solutions for our clients—whether it's AI-driven tools for informed decision-making, merging digital and physical shopping experiences, or creating new avenues for industries to engage with their customers. We enable the world’s most ambitious companies to experiment, scale, and thrive without limits. Here, the best ideas take precedence over the loudest voices, and you will have the resources, autonomy, and trust to not only redefine the future of commerce but to shape your own journey.Your ImpactAs a Principal Engineer in Product Security, you will play a pivotal role in supporting the Engineering team by addressing complex technical challenges and facilitating a 'shift left' approach to building secure services on a multi-cloud infrastructure.

*** Welcome to a place where innovation meets consistency in voice and messaging across all job postings.*** C'est un endroit où l'innovation rencontre la cohérence dans la voix et le message de toutes les offres d'emploi.Are you ready to redefine the future of technology?Join us on an exciting journey into the world of digital banking with Tietoevry Banking. Be a part of a revolutionary movement that empowers businesses and societies to realize their full potential while harnessing your own. Whether your passion lies in strategy, coding, analysis, or technology exploration, we have a place for you.We are currently seeking talented graduates for the autumn of 2024 in Sweden who are eager to help shape the future of finance. Become a member of our international team of 4,000 experts, dedicated to creating value that benefits both customers and humanity. This is your gateway to a fulfilling global career.The ProgramOur Rotation track is tailored for tech students desiring to collaborate with customers to innovate the future of banking. Engage with the latest FinTech technologies as you explore diverse areas within the financial services sector. You will acquire valuable knowledge and hands-on experience throughout the software development lifecycle by participating in three different customer projects, focusing on requirements, development, and testing. Post-program, you will specialize in one of these key areas.The Graduate Program offers a comprehensive introduction to our company, culture, and the markets we operate in, along with exposure to real customer projects.What we offer?Upon joining, you will gain full access to a personal mentor, networking events for Nordic graduates, and activities for young professionals. You will be welcomed into our established learning communities and benefit from collaboration across various digital disciplines. Additionally, we provide:Professional and personal development. We believe that mutual learning and growth elevate us all. Challenge yourself while working in our tech company, supported by your leader, team, and personal mentor. You will also receive guidance from a dedicated buddy.

Our MissionAt Neko Health, we are on a mission to revolutionize healthcare by transitioning from a reactive model of treating illnesses to a proactive approach focused on prevention. Our advanced non-invasive technology, combined with clinical expertise, empowers individuals with early, actionable health insights.Role OverviewAs a Lead Software Engineer within the Product Engineering team, you will take charge of designing and developing high-quality, fail-proof user experiences for our member-facing applications and clinical processes. This pivotal role merges deep system design, innovative product thinking, and excellence in AI-driven engineering.You will set the standard in an environment where engineers prioritize understanding the 'why' before determining the 'how.' You will own outcomes end-to-end and seek architectural innovations or automation that can deliver substantial improvements. Collaborating across Product, Data Science, and Hardware teams, your decisions will have a direct impact on member trust, clinic reliability, and Neko's growth trajectory.What You Will Achieve in Your First 6 to 12 MonthsBecome an integral contributor within the first 3 months, taking ownership of significant areas within the Member Experience or Medical Excellence product domains.Design and implement end-to-end features that greatly enhance customer journeys, ensuring smooth, resilient, and clinically safe experiences.Introduce and advocate for AI-first workflows, utilizing tools like Claude Code to streamline processes, allowing you to focus on impactful system design.Clarify challenges in ambiguous areas, proactively identify issues, ask insightful questions regarding context and intent, and provide transparent feedback even when solutions are not straightforward.Lead essential reliability and quality initiatives to ensure that member-facing systems are robust, scalable, and capable of sustaining Neko's rapid expansion.Mentor and influence fellow engineers, elevating standards for technical excellence, problem-solving, and customer-centricity.Collaborate with cross-functional teams across Product, Data Science, and Hardware to ensure system design aligns with real-world clinical and operational requirements.

About the RoleWe are on the lookout for two highly skilled backend engineers to join our dynamic team in Berlin. You will be instrumental in advancing the development and implementation of our technology, enhancing our capacity to create core backend functionalities, and empowering other teams to utilize this backend for their projects.If you have a passion for creating exceptional products, thrive in a fast-paced environment, and are eager to contribute to the success of an ambitious startup, this is the perfect opportunity for you.Our Tech Stack:Python / FastAPIPostgreSQL / MongoDB / ElasticCloud LLM providers + bare metal GPUsGCPAs an early team member, you will assume significant responsibilities from day one, with the chance to influence our technological architecture and infrastructure.Join one of the most ambitious AI companies today, collaborating with a world-class team of experts in their fields, and experience an incredibly stimulating work environment. In This Role You WillLead the delivery of complex projects, coordinating with cross-functional teams, and ensuring timely completion of essential components.Develop a deep understanding of Reliant's vision and integrate this into your architectural and process decisions in daily operations.Offer insights to refine UI/UX concepts and assist in the planning of backend and infrastructure development.Take proactive responsibility for long-term code quality and architecture. About YouThe ideal candidate will have a proven track record in backend or full-stack development, with a focus on rapid innovation and effective systems design that supports growth opportunities for both the product and the team.To thrive in this role, you should possess the following skills and experiences:5+ years of demonstrated experience in building backend services or distributed systems.Ability to design, develop, test, and maintain backend services and APIs that support product features, including writing robust, production-quality code.Engage in system and service design; contribute to architectural discussions and make informed trade-offs regarding scalability, latency, cost, and reliability.Navigate ambiguity effectively; translate vague or high-level requirements into actionable implementation plans.Collaborate with cross-functional partners including product management, frontend, UX, data, and operations to define requirements, plan implementations, and deliver features.Ensure high code quality by writing, reviewing, and improving unit/integration tests; actively participate in code reviews.

Team Overview The AI AML Engineering Squad at SumUp works at the intersection of machine learning and financial crime prevention. The team builds data products and machine learning systems that help keep SumUp's transaction monitoring effective and compliant in 37 countries. Senior Data Scientists here oversee the models, pipelines, and risk scoring that flag and escalate suspicious activities, always with a focus on regulatory standards. What You Will Do Develop, maintain, and improve machine learning models and batch training pipelines for anti-money laundering (AML) transaction monitoring, focusing on detection accuracy, operational efficiency, and regulatory compliance. Design and engineer features for the Feature Store, using AML typologies and suspicious behavior patterns. Work closely with AML investigators to turn domain knowledge into alerting logic and set thresholds. Run sensitivity analyses on synthetic datasets. Prepare governance materials like model cards and ensure documentation meets audit standards. Own the AML Risk Score: analyze what drives it, monitor changes, conduct back-testing, and suggest improvements to features, logic, and thresholds. Work with AML Operations, Product, and Engineering teams to turn stakeholder needs into practical, scalable data science solutions. Track and improve detection performance metrics, adjust solutions for regional compliance, and contribute to system design documentation. What We Look For Advanced Python skills, including hands-on data engineering experience and a background in building production-ready machine learning workflows. Expertise in feature engineering and unsupervised machine learning. Ability to translate domain knowledge into model behaviors and alerting logic. Experience deploying machine learning applications and managing end-to-end pipelines (monitoring, versioning, rollback), especially in regulated settings. Location This position is based in Berlin, Germany.