Data Scientist and AI Engineer

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

Role overview The Senior Data Scientist - AI & Analytics position at Instructure in Budapest centers on using data science and machine learning to enhance products and services. This role requires collaboration with team members from various departments to address business challenges through data-driven solutions. Key responsibilities Analyze large and complex data sets to extract actionable insights. Build predictive models that support business decision-making. Work closely with colleagues from different functions to apply analytical methods to real-world problems. Location This position is based in Budapest, Hungary.

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

Deutsche Telekom IT Solutions seeks a Data Scientist (REF5387K) to join its team in Budapest or Debrecen. The role centers on analyzing complex datasets, developing statistical models, and applying machine learning methods to support decisions across several business areas. Key Responsibilities Examine large and diverse data sets to spot trends and patterns Develop and implement statistical models and machine learning algorithms Convert data insights into practical recommendations for various business teams Collaborate with colleagues to address challenging data questions Who Thrives Here This position fits those who value teamwork and are eager to tackle complex challenges using data-driven approaches.

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

Join Instructure as a Senior Applied Data Scientist specializing in Learner Modeling, where you will leverage data to enhance educational experiences. In this dynamic role, you will work on innovative projects that drive learning outcomes and improve our platform. Collaborate with a talented team of data scientists and engineers to develop advanced models that analyze learner behavior and provide actionable insights.

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.

Join a prominent global consulting and professional services firm dedicated to large-scale enterprise transformation initiatives. Our team is at the forefront of AI integration across key business functions, empowering a major international software company to fully embrace a data-driven approach.As an AI Engineer, you will work within a diverse, international team to deliver enterprise-level AI solutions that revolutionize operations within Finance, Procurement, and HR sectors. The primary focus will be on practical deployment—designing, constructing, and scaling production-ready AI systems utilizing contemporary cloud and engineering methodologies.Key Responsibilities:Architect, develop, and launch AI and generative AI (LLM-based) solutions from initial concepts to full-scale enterprise applications.Establish and sustain scalable data pipelines and model deployment workflows.Create backend services and APIs for AI-based applications (e.g., FastAPI, Flask).Implement CI/CD and MLOps methodologies to automate model training, testing, and deployment processes.Develop and integrate multi-agent and LLM-based systems into existing business workflows.Guarantee the reliability, scalability, observability, and compliance of deployed solutions.Collaborate closely with product owners, data scientists, and architects to effectively translate business requirements into technical solutions.Promote engineering excellence and mentor junior team members as necessary.Qualifications:Bachelor's degree in Computer Science or a related discipline.Proficient programming skills in Python (Java is also acceptable).Experience with backend frameworks (FastAPI, Flask, Django, or similar).Hands-on experience with Docker and Kubernetes.Familiarity with CI/CD and MLOps pipelines.Cloud technology experience (Azure, AWS, or Databricks).Background in data processing, ETL pipelines, and APIs.Understanding of distributed systems and large-scale data platforms.Excellent communication skills in English.A proactive, solution-oriented mindset with a strong sense of ownership.Preferred Skills:Experience with generative AI or LLM frameworks (e.g., LangChain, CrewAI).Familiarity with enterprise platforms such as SAP AI Core or SAP BTP.Experience in Agile environments (Scrum, SAFe) and tools like Jira.Benefits:Engage in transformative AI projects at a significant scale.Work with a modern tech stack and cutting-edge AI technologies.Collaborate in an international and supportive work environment.Enjoy a hybrid working model.Access continuous learning and professional development opportunities.Receive a competitive compensation package with standard corporate benefits.Be part of a team culture that prioritizes quality and innovation.

Join us as an AI Data Specialist focused on enhancing AI-generated content in Hungarian. Job Type: FreelanceLocation: RemoteWork Schedule: Part-time - 10+ hours per week, flexible hours.Start Date: ImmediateDuration: To be confirmedRate: Rates vary based on location Be a Part of AI's FutureAre you a student, recent grad, stay-at-home parent, or professional searching for flexible remote work? If you're passionate about shaping the growth and safety of AI models, we'd love to hear from you! Your ResponsibilitiesThe role includes various data-related tasks such as:- Collecting, evaluating, and annotating data.- Conducting pairwise comparisons.- Performing counting tasks.- Tagging and labeling objects across various content types (audio, video, images, etc.) Qualifications We Seek:- Native-level proficiency in Hungarian- English Proficiency: Fluent or advanced (B2–C2)- AI & Data Skills (Preferred): Experience in machine learning tasks, data collection, preprocessing, evaluation, and annotation. What We Provide- Flexible work schedule- Opportunity for additional income- Timely payment- Ideal for students, part-time workers, or stay-at-home parents

The Exciting Opportunity This position plays a vital role in architecting and enhancing our platform to meet business demands while optimizing our systems. In this role, you will have the opportunity to develop new data pipelines, manage platforms hosted on data streams for both batch and real-time loading, and create real-time visualizations. Key Responsibilities: Maintain and enhance our existing data platform. Develop processes to ingest data from Kafka, APIs, and databases using AWS MSK Connect. Design and maintain real-time data processing applications utilizing frameworks such as Spark Structured Streaming and Kafka Streams. Implement transformations on data streams. Participate in data modeling adhering to standards like Inmon, Kimball, and Data Vault. Ensure data quality by verifying consistency and accuracy. Stay current with research and advancements in technology to improve our data platform. Possess an investigative mindset to troubleshoot issues creatively and manage incidents effectively. Take full ownership of assigned projects and tasks while collaborating within a team environment. Document processes thoroughly and conduct knowledge-sharing sessions. What We're Looking For: Essential Qualifications: Proven experience with modern cloud database technologies, especially Snowflake. Expertise in orchestrating data pipelines using Airflow. Proficient in AWS Glue. Familiarity with Apache Iceberg. Strong experience with SQL and Data Integration Tools. Proficiency in programming languages such as Python or Scala. Knowledge of AWS Services like S3, Lambda, API Gateways, DMS, and RDS. Development experience in Microsoft and Linux/Cloud environments. Exceptional analytical and problem-solving skills.

Join our esteemed client, a well-established IT consulting firm with over two decades of expertise in executing large-scale technology projects across various sectors. Their enduring collaborations with major organizations demonstrate their technical prowess and financial reliability, bolstered by consistently high external credit ratings. Operating with a streamlined core team, the company boasts low turnover rates and fosters a collaborative culture built on trust, long-term partnerships, and a commitment to high-quality deliverables. With engagements spanning telecommunications, healthcare, and academia, this role offers engineers the chance to work on diverse and intricate projects while enjoying a flexible and supportive work environment.We are seeking a Senior Data Engineer to help manage extensive data environments characterized by high-volume datasets, intricate integrations, and analytical applications. This hands-on engineering position emphasizes the creation and upkeep of data pipelines, in-depth understanding of end-to-end data flows, and resolution of data quality concerns across distributed systems.You will collaborate closely with engineers, analysts, and stakeholders to ensure the delivery of reliable, scalable, and well-structured data solutions that enhance analytics and machine learning efforts.Key Responsibilities:Design, construct, and sustain scalable data ingestion and ETL/ELT pipelines.Manage large datasets and interfaces that feed into enterprise-level databases.Examine data flows and diagnose inconsistencies across systems.Conduct root cause analyses to trace erroneous outputs back to original source systems.Prepare datasets for analytics and machine learning applications.Participate in data modeling and mapping activities.Assist machine learning initiatives through data preparation, evaluation, and optimization.Establish and implement data quality monitoring frameworks.Create visualizations to facilitate data interpretation and insights.

Join Our Innovative Team At Betsson Group, we are on the lookout for a skilled AI Engineer who is ready to create top-tier applications and solutions. In this role, you will design and develop cutting-edge AI solutions, context systems, and AI Agents, while also maintaining and enhancing our diverse range of AI products. Engage in research on advanced models and work alongside our product and architecture teams to deliver high-performance services enjoyed by millions of players. This is your chance to leverage state-of-the-art technology and contribute to world-class products. Your Role and Responsibilities: Focus on developing and maintaining modular and reusable systems while exploring new technologies to enhance our offerings. Participate in design discussions, troubleshoot complex challenges, and contribute directly to our codebase. Play an integral role in fostering a collaborative and high-performing team culture, including code reviews and supporting fellow engineers and tech leads. Requirements: Demonstrated experience in developing and delivering production-ready AI applications. Strong technical foundation in Generative AI, Large Language Models (LLMs), and Prompt Engineering. Experience in building context systems utilizing RAG, Vector Stores, and MCP. Proficient in developing AI Agents using frameworks such as LangGraph and LangChain. Experience in mentoring or leading engineers in a technical capacity.

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

Role Overview Tulip is hiring a Data Operations Engineer to help manage and improve data operations. This role focuses on maintaining data quality, refining workflows, and supporting the efficiency of daily processes. The position is based in Budapest, Munich, or Tel Aviv. What You Will Do Work closely with teams across the company to ensure data remains accurate and reliable Identify opportunities to streamline data-related processes Support ongoing efforts to improve the efficiency of data operations Location Budapest, Hungary Munich, Germany Tel Aviv, Israel

We are seeking a talented AI Platform Engineer to become a key member of our innovative AI Fabric Team at Instructure, a leader in educational technology. In this role, you will leverage your expertise in artificial intelligence and software engineering to develop cutting-edge platforms that enhance learning experiences for users worldwide.As an AI Platform Engineer, you will collaborate closely with data scientists, product managers, and other engineers to design, implement, and optimize our AI-driven solutions. Your contributions will directly impact the effectiveness of our educational tools and the success of our mission to improve educational outcomes.

Bosch Group seeks a Data Engineering Intern based in Budapest. This internship provides practical experience in data management, analytics, and the development of data pipelines. What you will do Support the team in managing and organizing data Assist with analytics tasks and reporting Help build and maintain data pipelines for ongoing projects Work closely with experienced data engineers on real-world assignments Requirements Interest in data engineering and analytics Willingness to learn new data technologies Ability to collaborate with team members Based in Budapest or able to work from this location

Join our dynamic team as a Senior Data Engineer where you will play a pivotal role in shaping our data architecture and driving innovative solutions. You will be responsible for designing, building, and maintaining robust data pipelines that ensure our data is accessible, reliable, and ready for analysis. Your expertise will directly contribute to enhancing our data-driven decision-making processes.

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 Senior Data Engineer, where you will play a pivotal role in building and managing scalable data ingestion and Change Data Capture (CDC) capabilities on our Azure-based Lakehouse platform. Your expertise will drive our engineering maturity as we deliver ingestion and CDC preparation through Python projects and reusable frameworks. We are seeking a professional who applies best software engineering practices, including clean architecture, rigorous testing, code reviews, effective packaging, CI/CD, and operational excellence.Our platform emphasizes batch-first processing, allowing for the landing of streaming sources in their raw form while processing them in batch. We are selective in our evolution towards streaming as necessary.As part of the Common Data Intelligence Hub, you will collaborate closely with data architects, analytics engineers, and solution designers to create robust data products and ensure governed data flows across the enterprise.Your team is responsible for end-to-end ingestion and CDC engineering, including design, build, operation, observability, reliability, and reusable components.You will contribute to the development of platform standards, including contracts, layer semantics, and readiness criteria.While you will not primarily manage cloud infrastructure provisioning, you will work with the platform team to define requirements, review changes, and maintain deployable code for pipelines and jobs.Platform Data Engineering & DeliveryDesign and develop ingestion pipelines utilizing Azure and Databricks services, including Azure Data Factory pipelines and Databricks notebooks/jobs/workflows.Implement and manage CDC patterns for inserts, updates, and deletes, accommodating late arriving data and reprocessing strategies.Structure and maintain bronze and silver Delta Lake datasets, focusing on schema enforcement, de-duplication, and performance tuning.Create “transformation-ready” datasets and interfaces with stable schemas, contracts, and metadata expectations for analytics engineers and downstream modeling.Adopt a batch-first approach for data ingestion, ensuring raw landing, replayability, and idempotent batch processing while progressing towards true streaming as required.Software Engineering for Data FrameworksDevelop and maintain Python-based ingestion and CDC components as production-grade software, focusing on modules, packaging, versioning, and releases.Implement engineering best practices such as code reviews, unit/integration tests, static analysis, formatting/linting, type hints, and comprehensive documentation.Establish and enhance CI/CD pipelines for data engineering code and pipeline assets, covering build, testing, security checks, deployment, and rollback patterns.

Join a global leader in technology dedicated to energy innovation for a sustainable future. Our client is at the forefront of transforming energy solutions with advanced gas engine technologies, digital platforms, and energy services. With operations in over 100 countries, they focus on advancing engineering while prioritizing the well-being of people and the planet.The Senior Data Engineer plays a crucial role in collaboration with Data Analysts, BI Developers, and Requirements Engineers to lay the groundwork for all analytical projects. This position entails building and managing data pipelines that extract, transform, and load (ETL) data from various sources into a centralized repository, subsequently facilitating project-specific data delivery.Your Responsibilities: Architect and deploy scalable and resilient data pipelines that meet the analytics and data processing requirements. Design and maintain robust database architectures, including data lakes and warehouses. Ensure data integrity and consistency through meticulous data cleaning, transformation, and validation processes. Engage with Data Analysts, BI Developers, and Requirements Engineers to gather project requirements and provide data solutions aligned with business goals. Enhance data retrieval processes by developing pipelines and physical data models tailored for reports and various analytical projects. Implement data security and privacy protocols to ensure compliance with legal and regulatory standards. Document all created data pipelines comprehensively.