Responsibilities Lead end-to-end implementation and migration projects for enterprise clients Define and document target architectures, integrating SCAYLE with client systems (ERP, PIM, CRM) Provide guidance on SCAYLE platform capabilities, APIs, and composable commerce Translate business requirements into technical specifications and actionable work packages Collaborate with external partners to ensure delivery quality and standards compliance Review and validate integrations: REST APIs, webhooks, and asynchronous data flows Support cross-functional teams in resolving technical blockers Requirements Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field 5+ years in enterprise ecommerce architecture, digital consulting, or technical lead roles Proven experience leading large-scale SaaS or MACH replatforming projects Deep knowledge of e-commerce architectures: Storefronts, OMS, PIM, CMS, ERP ntegrations Expert in MACH principles (Microservices, API-first, Cloud-native, Headless) Hands-on experience with REST APIs, webhooks, and event-driven architectures Strong problem-solving, consultative mindset, and clear communication skills YOU ARE THE CORE OF OUR COMPANY We take responsibility for creating an inclusive and exceptional environment where all genders, nationalities and ethnicities feel welcomed and accepted exactly as they are.
Responsibilities Lead and steer complex replatforming projects independently Manage System Integrators and external partners to meet SCAYLE standards Ensure smooth connectivity and operation of customer environments post-go-live Own project lifecycle from planning to rollout, including budget and resource management Collaborate with internal and external stakeholders to align priorities and expectations Maintain transparent communication, progress tracking, and documentation throughout projects Apply agile methods to drive timely decisions and efficient execution Requirements Bachelor’s or Master’s degree in Business Administration, Computer Science, Business Informatics, Engineering, or similar experience 5+ years in IT project management, ideally in e-commerce or SaaS Proven experience managing enterprise customers and external service providers Strong knowledge of project management methodologies like Agile, Scrum, or Waterfall Solid understanding of e-commerce architectures, APIs, and MACH principles Exceptional communication and stakeholder management skills Experience with complex platform migrations or replatforming projects and project management certifications is a plus YOU ARE THE CORE OF OUR COMPANY We take responsibility for creating an inclusive and exceptional environment where all genders, nationalities and ethnicities feel welcomed and accepted exactly as they are.
YOUR TASKS: Design, develop and deploy digital solutions ensuring the software development life cycle in an agile setup Develop solutions on a leading-edge cloud based platform for managing and analyzing large datasets Create technical documentation Analyze and decompose business requirements into technical functionalities Produce clean and efficient code based on business requirements and specifications Create Notebooks, pipelines and workflows in SCALA or Python to ingest, process and serve data in our platform Be a technical lead for junior and external developers Be a part of the continuous improvement of Nordex’ development processes by participating in retrospectives and proposing optimizations YOUR PROFILE: Technical degree in Computer Science, Software Engineering or comparable Experience or certification in Databricks Fluent English At least 3 years of proven experience Availability to travel YOUR BENEFITS: In addition to the opportunity to make our world a little more sustainable, we offer you: *Some offers may vary by location. ** Hybrid working in accordance with the company's internal policy.
B. in den Bereichen Company GPTs, AI Agents, Automation, Predictive Analytics oder Voice Bots Analyse & Optimierung: Du identifizierst Potenziale in Geschäftsprozessen und entwickelst Lösungen auf Basis moderner KI-Technologien wie Large Language Models (LLMs), Computer Vision oder Robotic Process Automation (RPA) Umsetzung & Verantwortung: Du übernimmst Teilprojekte, präsentierst Ergebnisse auf Managementebene und sorgst für die nachhaltige Integration von KI-Lösungen Innovation & Teamwork: Du arbeitest in einem agilen KI-Spezialisten-Team, das Trends und Technologien evaluiert und unser Beratungsportfolio kontinuierlich weiterentwickelt Dein Profil Abgeschlossenes Studium in Informatik, Wirtschaftsinformatik, Data Science oder einem vergleichbaren Fachgebiet Ausgeprägte analytische und konzeptionelle Fähigkeiten Erste praktische Erfahrung mit AI-Use-Cases und deren Umsetzung Hands-on-Know-how in Containerisierung & Orchestrierung (Docker, Kubernetes) Kenntnisse in AI/ML-Frameworks (z.
Location: Mobile Work (Mexico) What you’ll do Lead the charge: Manage cross-functional teams to deliver software into major retail environments Be the face: Build strong customer relationships as the main contact throughout the project lifecycle Keep it agile: Support Agile processes and enable smooth development execution Own the numbers: Manage budgets, forecasts, and invoicing with precision Stay ahead: Report on status, risks, and financials across stakeholder levels Solve smart: Resolve issues, ensure quality, and keep projects on time and on budget What you bring A degree in Computer Science, IT, or a related field Strong experience in the Central/Latin America`s retail market, experience in IT/software projects; POS background is a plus Proven success in managing customer-facing projects, including budgeting and contracts Strong communication skills and confidence in stakeholder management Team-oriented, creative in problem-solving, and adaptable to dynamic environments Fluent in English Willingness to travel and take your expertise global
What you will do: Welcome visitors and keep record of incoming visitors Responsibility for documents workflow (incoming/outgoing post, messengers deliveries and its evidence in the internal mailing room and delivery area) Professional communication (in person, on the telephone or email) Cooperates closely with Facility and Office Services Team You should have: Fluent knowledge of English and Czech (both written and spoken) Computer literate, good knowledge of MS Office Excellent organizational and communication skills Customer oriented, positive and professional approach Experience as receptionist is a great advantage What we offer: Great team of IT professionals and the possibility of technical development An extra week of holiday (25 days/year) 6 Self-sickness days/year Full salary compensation for up to 10 days absence due to illness per the calendar year Cafeteria employee benefit program with wide selection of benefits from Edenred On-going professional and technical training and certifications A multicultural environment in modern offices Pension plan contribution Multisport card Employee Referral Program Company sponsorship of various sports and social clubs Smart casual dress code In DHL ITS Prague, you will have the opportunity to be part of over 1650 highly skilled IT professionals of 67 nationalities.
Principal Accountabilities: Collaboration in projects of the European Data Science & Advanced Analytics Team.Concept, design, development and execution of complex innovative AI/Machine Learning solutions as well as execution and implementation of concept studies using advanced statistical methods.Development of deep learning models for structured medical concept extraction from unstructured data.Productionalization of machine learning algorithms in Big Data platforms.Application of modern data mining and machine learning techniques in connection with Healthcare Big Data to identify complex relationships and link heterogeneous data sources.Advanced usage of Large Language Models for summarization, chatbot, entity extraction etc.Develop foundational Deep Learning Models for assets and patients.Builds and trains new production grade algorithms that can learn from complex, high dimensional data to uncover patterns from which machine learning models and applications can be developed. Our Ideal Candidate Will Have: Master’s degree in Computer Science, Mathematics/Statistics, Economics/Econometrics or related field.Substantial years of professional experience in quantitative data analysis or PhD with at least 1 year of relevant professional experience with research in machine learning algorithms.Very good knowledge and in depth understanding of Machine Learning methods, both classical and deep learning models.Relevant experience with Natural Language Processing (NLP) models for extracting structured concepts from unstructured free text, including the design, training, and evaluation of information‑extraction pipelines.Very strong technical capability in Python, SQL, Hadoop ecosystem.Experience applying AI/Machine Learning methods to business questions.Very good knowledge of the higher statistical and econometric methods in theory and practice.Experience with handling Big Data.Ability to write clean, reusable, production-level codeExcellent communication skills (written and oral) including technical aspects of a project, ability to develop usable documentation, results interpretation and business recommendations.Strong analytic mindset and logical thinking capability, strong QC mindset.Knowledge of pharmaceutical market and experience with pharmaceutical data (medical, hospital, pharmacy, claims data) would be a plus, but not a must.Self-responsible for managing projects.Fluency in German & English.
elasticsearch AWS Python Google BigQuery Google Cloud Platform Numpy Pandas Gitlab What you will do Design and develop innovative algorithms to power a personalized shopping experience, leveraging cutting-edge machine learning techniques Deploy your solutions into production, taking full ownership and ensuring high performance and scalability Combine your data science expertise with a pragmatic, agile approach to find innovative solutions and drive measurable results within a fast-paced environment Challenge the status quo by identifying areas for improvement in existing retrieval and reranking systems, particularly those relying heavily on business logic, and propose data-driven solutions Thrive in a dynamic, fast-paced environment with a flat hierarchy, where your ideas and contributions can make a real difference Who you are Proficiency in Python or experience with at least one scientific computing language (e.g., MATLAB, R, Julia, C++) Strong SQL skills with experience in analytical or transactional database environments Theoretical understanding of machine learning principles, coupled with a hands-on approach to building and iterating on models Proven experience in building and deploying machine learning solutions that deliver tangible business value Strong understanding of data structures, algorithms, and tools for efficiently handling large datasets (e.g. pandas, numpy, dask, arrow, polars, …) Experience designing, building, and managing data pipelines Familiarity with cloud-based model training and serving platforms (e.g., GCP Vertex AI, Amazon SageMaker) Solid understanding of statistical methods for model evaluation Big Data: Experience analyzing large datasets using statistical and machine learning techniques DevOps: Familiarity with CI/CD tools (e.g., GitLab CI/CD, Hashicorp Terraform) is a plus Generative AI: Experience with generative AI and agentic frameworks (e.g., LangChain, ADK, CrewAI, Pydantic AI, …) is a plus Understanding of recommendation, retrieval and reranking systems in e-commerce and retail is a plus Excellent written and verbal communication skills in English Ability to effectively communicate complex machine learning concepts to both technical and non-technical stakeholders Proven ability to collaborate effectively within a team to establish standards and best practices for deploying machine learning models A proactive approach to knowledge sharing and fostering a quick development environment Nice to have Experience with BigQuery Knowledge of time series and (graph) neural network models Familiarity with statistical testing and Gaussian Processes Strong Knowledge of Computer Vision libraries, (e.g. OpenCV, TensorFlow, PyTorch) Experience maintaining Machine Learning pipelines through MLOps frameworks (e.g.
Key Responsibilities: ·Provides specialized administrative support in the development, implementation, and marketing of our two HR development programs ·Serves as a central point of contact between prospective employees, vendors, staff, other departments, and/or external constituencies on day-to-day operational, and administrative matters; assists with meetings, special projects, and/or general problem resolution ·Coordinates activities and administration of program objectives; this requires engaging internal and external stakeholders ·Monitors and administers program/project expenses; may develop or participate in the development of funding proposals for the program ·Writes, edits, and coordinates development of course catalogs, promotional materials, educational materials, training manuals, newsletters, and/or brochures, as appropriate to the program ·Maintains program/project records, researches information and gathers and computes various data; prepares special and/or one-time reports, summaries, or replies to inquiries, selecting relevant data from a variety of sources.