Dynamic Business Development Representative - Spanish Speaker

Join Us as a Senior Machine Learning Engineer!Be a Part of AI & Data TransformationAt Datatonic, we proudly serve as Google Cloud's premier partner in AI, spearheading transformative changes for leading enterprises. Our dedication to pushing the technological envelope is evident through our expertise in machine learning, data engineering, and analytics on the Google Cloud Platform. Collaborating with us empowers clients to future-proof their operations, glean actionable insights, and maintain a competitive edge in an ever-evolving landscape.Your Role and ResponsibilitiesAs a Senior Machine Learning Engineer, you will excel in crafting elegant code in Python and take immense pride in your deliverables. You will champion high-quality engineering practices and best practices in both production software and rapid prototyping. While this role is hands-on, we seek candidates eager to lead projects and engage actively in client discussions. You will build trusted relationships, creatively apply machine learning to solve real-world challenges, scope projects, and ensure seamless delivery.Key ResponsibilitiesRequirements Translation: Analyze ambiguous requirements to develop models that tackle real-life challenges.Data Science Expertise: Execute ML experiments using relevant programming languages and machine learning libraries.Generative AI: Harness generative AI to create groundbreaking solutions.Optimization: Enhance machine learning solutions for optimal performance and scalability.Custom Implementation: Develop tailored machine learning code to address specific requirements.Data Engineering: Facilitate efficient data flow between databases and backend systems.MLOps: Automate ML workflows, emphasizing testing and deployment practices.

Join our innovative AI training initiative as a Native Swedish Speaker. This role is crucial for enhancing AI models through data annotation and language processing tasks. We seek individuals who are fluent in Swedish, possess excellent communication skills, and have a keen eye for detail.As part of our team, you will contribute to the development of cutting-edge AI technology that aims to improve user experiences across various platforms.

Join our dynamic team at Devoteam as a Senior to Principal Machine Learning / AI Engineer, where your expertise in cutting-edge technology will drive innovation and excellence. You will collaborate with talented professionals to develop and implement advanced machine learning solutions that address real-world challenges.

Join Spotify as a Senior Machine Learning Engineer, specializing in our Generative UI Platform. In this pivotal role, you will leverage your expertise in machine learning to enhance user experiences by developing cutting-edge generative models. You will collaborate with cross-functional teams to innovate and implement solutions that redefine how users interact with our platform.

Join Modal as a Forward Deployed Engineer specializing in Machine Learning, where you will become a pivotal member of our innovative team. You will work closely with clients, leveraging your expertise to implement and optimize machine learning solutions that drive business success.

Role Overview H&M Group is looking for a Lead Machine Learning Engineer in Stockholm. This role guides a team of engineers and shapes the company’s approach to artificial intelligence and machine learning. The position focuses on developing new algorithms and deploying machine learning solutions that improve the customer experience and support data-driven decisions across the business. What You Will Do Lead and mentor a team of machine learning engineers Design and develop advanced algorithms for real-world applications Implement machine learning models that impact customer experience Support data-driven strategies and help optimize business processes Location This position is based in Stockholm.

About PathwayPathway is revolutionizing artificial intelligence with the introduction of the world’s first post-transformer model that emulates human thought processes.Our innovative architecture (BDH) surpasses traditional Transformer models, offering enterprises unparalleled insight into model functionality. By merging our foundational model with the fastest data processing engine available, Pathway empowers organizations to transcend incremental improvements and achieve truly contextualized, experience-driven intelligence. Trust from esteemed clients such as NATO, La Poste, and Formula 1 racing teams underscores our impact.Guided by co-founder & CEO Zuzanna Stamirowska, a complexity scientist, our team includes AI trailblazers like CTO Jan Chorowski, who pioneered the application of Attention in speech and collaborated with Nobel laureate Geoffrey Hinton at Google Brain, and CSO Adrian Kosowski, a leading computer scientist and quantum physicist who earned his PhD at 20.Headquartered in Palo Alto, California, Pathway is supported by prominent investors and advisors, including TQ Ventures and Lukasz Kaiser, co-author of the Transformer model and a key researcher behind OpenAI’s reasoning frameworks.The OpportunityWe are seeking a talented Machine Learning DevOps Engineer with a strong background in cloud and compute cluster management, infrastructure scaling, and Linux administration. Our development, ML training, and production environments operate in the cloud, utilizing several major cloud service providers. Your role will be pivotal in managing and automating processes while scaling our infrastructure to meet the demands of our expanding team and production needs.Your ResponsibilitiesOptimize infrastructure for machine learning training and inference (e.g., GPUs, distributed computing).Automate and maintain ML/LLM pipelines (data ingestion, training, validation, deployment).Manage model versioning, ensuring reproducibility and traceability.Handle terabyte-scale datasets.Implement CI/CD practices tailored to machine learning.Monitor model performance and manage data drift in production.Collaborate with machine learning engineers, software developers, and platform teams.This role emphasizes the operationalization of machine learning models, guaranteeing scalability, reliability, and automation throughout the ML lifecycle.What We Are Looking ForStrong familiarity with Linux, shell scripts, and cluster configuration as foundational tools.Proficiency in workload management, containerization, and orchestration (e.g., Slurm, Docker, Kubernetes).Solid understanding of CI/CD tools and workflows (e.g., GitHub Actions, Jenkins).

About PathwayPathway is revolutionizing artificial intelligence with its pioneering post-transformer model that mimics human thought processes.Our groundbreaking architecture (BDH) surpasses traditional Transformer models, providing enterprises with comprehensive insights into model functionality. By integrating this foundational model with the fastest data processing engine available, Pathway empowers organizations to transcend mere incremental improvements and embrace genuinely contextualized, experience-driven intelligence. Trusted by prestigious entities like NATO, La Poste, and Formula 1 teams, we are at the forefront of technological advancement.Founded by complexity scientist Zuzanna Stamirowska, our leadership team includes AI visionaries such as CTO Jan Chorowski, who pioneered Attention in speech processing and collaborated with Nobel laureate Geoff Hinton at Google Brain, and CSO Adrian Kosowski, a distinguished computer scientist and quantum physicist who earned his PhD at 20.With backing from esteemed investors and advisors, including TQ Ventures and Lukasz Kaiser, co-author of the Transformer model behind ChatGPT and a key figure at OpenAI, Pathway operates out of Palo Alto, California.The OpportunityWe are seeking a passionate Senior ML Infrastructure / DevOps Engineer who thrives on optimizing Linux environments, distributed systems, and GPU cluster scalability over traditional notebook usage. You will be responsible for the infrastructure that drives our machine learning training and inference workloads across diverse cloud platforms, managing everything from basic Linux setups to advanced container orchestration and CI/CD pipelines.Your role will be integral to the R&D team, focusing on production infrastructure, including clusters, networks, storage, observability, and automation. Your contributions will directly influence the speed and efficiency of model training, deployment, and iteration.Why This Role is UniqueManage and scale GPU-intensive clusters utilized daily by the R&D team for high-scale training and rapid inference.Design, build, and automate our ML platform, moving beyond the execution of predefined playbooks.Collaborate across multiple major cloud providers to tackle intriguing challenges in networking, scheduling, and cost/performance optimization at scale.Your ResponsibilitiesArchitect, operate, and scale GPU and CPU clusters for ML training and inference (Slurm, Kubernetes, autoscaling, queue management, quota management).Automate infrastructure provisioning and configuration using infrastructure-as-code (Terraform, CloudFormation, cluster tooling) and configuration management techniques.Create and uphold robust ML pipelines (data ingestion, training, evaluation, deployment) with strong assurances around reproducibility, traceability, and rollback capabilities.Implement and maintain monitoring and observability solutions to ensure maximum uptime and performance.

Mercier Consultancy MD is looking for a Digital Trust and Safety Specialist who speaks Swedish. This remote position is based in Stockholm, Stockholm County, Sweden. Role Overview This role focuses on maintaining a secure and trustworthy online space. The Digital Trust and Safety Specialist monitors user-generated content, addresses safety concerns, and helps enforce community guidelines. The work directly supports digital integrity and protects the user community. Main Responsibilities Review user content and activity to identify and address violations of safety or community standards. Investigate reported safety incidents thoroughly and take steps to reduce risk. Work with other teams to develop and improve policies that support digital safety and trust. Prepare reports and provide insights on safety trends and key metrics for leadership and strategy discussions. Keep current with trends and updates in digital safety, applying best practices as needed. Communicate with users to build awareness of safety protocols and responsible online behavior.

Join our dynamic team as an AI Data Specialist and contribute to the enhancement of AI-generated content in Swedish. Job Type: FreelanceLocation: Work from homeWork Schedule: Part-time - 10+ hours per week. Enjoy the flexibility to work at your convenience.Start Date: Immediate availabilityDuration: To be confirmedRate: Compensation varies based on location. Contribute to the Future of AIAre you a student, recent graduate, stay-at-home parent, gig worker, or professional seeking flexible remote opportunities? If you're passionate about shaping the evolution and safety of contemporary AI models, we want to hear from you! Your ResponsibilitiesIn this role, you will perform a variety of data-centric tasks, including:Data collection, evaluation, and annotation.Conducting pairwise comparisons.Executing counting tasks.Tagging and labeling objects across various content types (audio, video, images, or collected data). QualificationsNative-level fluency in SwedishProficient in English (Fluent or advanced proficiency, levels B2–C2)Experience in AI & Data (Preferred): Familiarity with machine learning tasks, data collection and preprocessing, quality assurance, and data annotation. What We ProvideFlexible working hoursPotential to earn additional incomePrompt paymentIdeal for students, part-timers, or stay-at-home parents

Join Sopra Steria as an AI Engineer in the vibrant city of Stockholm, where you'll have the opportunity to contribute to cutting-edge projects that leverage artificial intelligence to drive innovation and efficiency. You will work closely with a talented team of engineers and data scientists to develop intelligent solutions that address complex challenges and enhance business processes.

About SanaAt Sana, we are pioneering the development of superintelligent AI for the workplace. Our vision is to empower organizations to achieve their goals with greater speed and efficiency by enabling seamless access to knowledge, automating repetitive tasks, and facilitating continuous learning through advanced agentic AI. As a proud member of the Workday family, we aim to create AI technologies that enhance human capabilities rather than replace them.Our mission is realized through two innovative products: Sana Agents, which offer a streamlined interface for accessing your organization's applications, knowledge, and data, allowing AI agents to perform real work and enabling teams to manage information at an unprecedented scale; and Sana Learn, an AI-driven learning hub that merges the ease of modern educational platforms with smart features such as an AI tutor, automated content generation, and interactive applications, transforming knowledge into actionable insights.We are a dynamic, product-focused team of engineers and designers with backgrounds at leading companies such as Google, Spotify, Apple, and Databricks. United by our commitment to technical excellence and rapid innovation, our tools currently support over a million users in enhancing their learning and work processes across numerous top-tier enterprises, and our journey is just beginning.About the RoleIn this role, you will play a pivotal role in developing the foundational agent infrastructure that drives Sana's mission to integrate superintelligence into the workplace. This is a unique opportunity to shape how AI agents strategize, reason, and execute tasks in complex enterprise environments—creating systems that effectively manage real-world complexities at scale. Your work will span agent architecture, context management, tool integration, and production infrastructure.In This Role, You WillDesign multi-step planning, orchestration, and tool routing systems for agents.Develop code generation agents and implement sandboxed code execution.Engineer strategies for memory, state management, and context grounding.Optimize for latency, quality, and cost in agent execution.Create safe fallback mechanisms, ensure graceful degradation, and establish robust error handling protocols.Collaborate with platform and search teams to build reusable agent infrastructure.Set safety standards and quantifiable quality benchmarks.What Success Looks LikeAgent architectures are resilient, dependable, and enterprise-ready.Context and memory management strategies are efficient and effective.

Lovable serves over 2 million users worldwide, helping people build software using clear, direct language. The team seeks an AI Research Engineer specializing in post-training processes to strengthen one of the market’s fastest-growing AI products. Role overview This position focuses on the post-training pipeline for Lovable’s AI models. The work blends hands-on model training, production infrastructure, and rapid deployment of optimized models. The team values speed and expects research to become working features in days or weeks, not months. Balancing research with real-world deployment is key. What you will do Oversee the complete post-training pipeline for AI models Apply recent research to practical training methods and workflows Deploy optimized models quickly to improve user engagement Work directly with both model training and production infrastructure Deliver results that impact users and product quality Team and culture The Stockholm-based team is small, skilled, and values ownership, speed, and collaboration. Lovable’s platform supports everyone from solo founders to global enterprises, enabling rapid transformation of ideas into products. Users span more than 200 countries. Location This role is based in Stockholm.

Lifted An Upwork Company seeks native Finnish speakers to participate in an AI training project in Stockholm. This project aims to strengthen artificial intelligence by collecting real feedback and language data from fluent Finnish speakers. Role overview Participants will share their insights on AI-generated content and provide data to help refine language technologies. The work centers on evaluating outputs and offering thoughtful, clear feedback that supports ongoing development. What you will do Review and assess content produced by AI systems Share feedback to guide improvements in language models Contribute Finnish language data for training purposes Requirements Native proficiency in Finnish Strong, clear communication skills Interest in language and technology Location This project takes place in Stockholm.

Key ResponsibilitiesEngage actively in the strategic planning of new features and products, with a focus on the creation, maintenance, and cost-effectiveness of infrastructure.Ensure the stability of systems that support both internal projects and collaborative partner developments, maintaining 24/7 availability for our global customer base.Collaborate with internal IT and Pipeline teams to design and implement scalable infrastructure solutions.Facilitate compliance processes by providing builds and collaborating with testing representatives to achieve timely certification.Effectively communicate issues, objectives, and milestones within the team.Participate in a highly collaborative environment with regular code reviews and design meetings.

Come join our dynamic team at Comeon Group as a passionate and experienced Learning and Development Manager! In this pivotal role, you will spearhead the design and implementation of impactful development initiatives across our fast-paced organization.Your leadership will be essential in enhancing performance, cultivating leadership capabilities, and fostering a culture of continuous growth among our diverse, geographically distributed workforce. The ideal candidate will possess substantial expertise in performance-driven L&D, exceptional facilitation skills, and the ability to influence senior stakeholders effectively.Operating at both strategic and operational levels, you will shape our development agenda while delivering engaging, high-energy programs that yield measurable business outcomes.

Join our dynamic team at Databricks as a Senior Solutions Engineer, where you will leverage cutting-edge technologies to deliver innovative solutions for our clients. You will play a critical role in driving customer success and helping businesses harness the power of data.

About SanaSana is a pioneering AI lab dedicated to creating superintelligence for work. We believe that organizations can accelerate their missions when teams can seamlessly access knowledge, automate repetitive tasks, and engage in learning with the assistance of agentic AI. As a subsidiary of Workday, our commitment lies in developing AI that enhances human capabilities rather than replacing them.Our mission is actualized through two innovative products: Sana Agents, which provide an effortless way to access a company’s applications, knowledge, and data, empowering AI agents to perform real work at an unprecedented scale; and Sana Learn, an AI-driven learning hub that marries the simplicity of a modern learning platform with intelligent features such as an AI tutor, automated content generation, and interactive apps, making knowledge not just accessible but actionable.We are a team of exceptionally talented engineers and designers, hailing from industry giants like Google, Spotify, Apple, and Databricks, driven by a shared passion for technical excellence and rapid iteration. Our tools are already enhancing the productivity of over a million users across hundreds of leading enterprises - and we are just getting started.About the RoleIn this role, you will be responsible for delivering customer-facing value swiftly by collaborating in small teams - taking ownership from problem identification through to UX design, API development, and performance instrumentation. You will work end-to-end to launch features that not only delight users but also create significant impacts for Sana and our clientele.Key ResponsibilitiesTake ownership of features from design to deployment, including frontend (React/TypeScript), backend (Node/TypeScript), and database (Postgres).Integrate with agent and retrieval APIs to ensure seamless product experiences.Instrument products, conduct A/B testing, and iterate quickly in collaboration with design and product management teams.Make pragmatic trade-offs and thrive in the ambiguity of 0→1 product spaces.Work closely with stakeholders, users, and teammates to identify and solve the right challenges.Success CriteriaRapid feature deployment that delights users and drives measurable outcomes.End-to-end ownership is standard - problems are resolved rather than passed along.Product instrumentation and A/B testing guide every iteration.You will act as a force multiplier for your team, enhancing the capabilities of those around you.Embrace ambiguity as an opportunity for innovation.

Join Us at LegoraAt Legora, we are revolutionizing the legal industry by collaborating closely with legal professionals to create innovative solutions. Our AI-driven workspace not only enhances the speed of legal tasks but also empowers users to ask insightful questions and unlock valuable insights. Each day, we strive to push the limits of legal technology, transforming intricate processes into streamlined, efficient workflows. Our trusted partnerships with top global firms like Cleary Gottlieb, Goodwin, Bird & Bird, and Linklaters across 40 countries reflect our commitment to excellence.Joining Legora means becoming part of a team that believes in excellence and collaboration. If you are passionate about building innovative solutions from the ground up in a fast-paced environment, we invite you to be a part of this exciting journey.The OpportunityAs a Senior Backend Engineer, you will play a crucial role in designing, developing, and delivering outstanding products that assist legal professionals worldwide in their daily operations. You will have the autonomy to work across the entire technology stack and take full ownership of your contributions.This position is based in our Stockholm headquarters and requires in-office attendance five days a week, as we believe that collaboration in person yields the best results.Your ResponsibilitiesDesign and implement new features for our web platform.Take charge of our codebase, ensuring high-quality code, security, and rapid development cycles.Utilize a range of technologies including Node.js, Postgres, Elasticsearch, AWS, Azure, and Kubernetes.Conduct code reviews and mentor junior engineers to foster team growth and improvement.Promote continuous improvement initiatives and challenge the status quo within the team.Are you ready to shape the future of legal technology with us?