WAS SIE ERWARTET:
- Technischer Sales Support: Erarbeitung technischer Konzepte sowie Kostenabschätzungen und Angebotsvalidierung in enger Abstimmung mit Vertrieb und Kunden
- Entwicklung technischer Konzepte zusammen mit dem Systems Engineering, sowie die Anpassung von Konzepten an Kundenanforderungen und Regularien.
- Unterstützung des Produktmanagements im Hinblick auf Serialisierungspotential sowie Festlegung der strategischen Relevanz
- Teil des Projektteams in Entwicklungsprojekten – Vertretung der Anforderungen aus Applikation / Kundensicht (Requirement Management / Change Request Management)
- Breites Gesamtverständnis der PALFINGER Produkte und Module für optimale Konzeptentwicklungen
|
RESPONSIBILITIES
- Experience in full stack web development technologies, specifically Typescript and NodeJS
- Strong knowledge in frontend technologies and frameworks (Web Components, React, CSS)
- Interest in Continuous Delivery and test automation (Playwright, Vitest)
- Experience in AI assisted coding
- Familiarity with cloud technologies and state of the art SaaS products like AWS, GitHub or Cloudinary.
- Has worked in virtual & mixed team organizations, including with outsourced partners and vendors.
- Understanding of modern web application architectures and concepts, such as islands architecture, caching, accessibility and web performance
- Knowledge of CI/CD pipelines (GitHub Actions), build tools (Webpack, Vite)
- Familiarity in using tools like Git, JIRA or Datadog.
|
RESPONSIBILITIES
- A degree in engineering, process engineering, or a related technical field is essential.
- At least 10 years of relevant experience in engineering-driven sustainability, with a proven track record in developing and implementing technical solutions.
- Fluent in English; German is an advantage.
- Expertise in applying technical solutions and sustainability technologies to real-world operational challenges.
- Proven ability to develop and implement engineering strategies that support sustainability goals with technically feasible solutions.
- Strong analytical skills, with the ability to interpret data and identify opportunities for improvement in sustainability practices.
- Excellent communication skills, with the ability to translate complex technical information into clear, actionable insights for stakeholders.
- Solution-oriented approach with a strong sense of responsibility and accountability.
|
RESPONSIBILITIES
- Experience in user research and talking to stakeholders to bridge the gap between the problem of a user and actual AI implementation options
- Proven experience in developing AI-powered solutions, from research to production-ready implementation.
- Strong foundation in modern AI/ML frameworks, patterns and tooling, especially in Generative AI, covering concepts like prompt engineering, RAG, LLM as a judge, fine-tuning, and so on.
- Familiarity with cloud platforms (preferrable AWS) and LLMOps & MLOps pipelines for deploying and scaling AI solutions.
- Expertise in model optimization and evaluation techniques to build robust AI workflows.
- Solid skills in Python (or other relevant languages) and practical experience in applying modern software engineering patterns (like version control systems, merge requests, pair-/mob-programming, testing)
- Strong interest and basic knowledge about Agentic AI and agentic architectures
- Strong communication skills, able to explain technical solutions to non-technical audiences.
- Excellent problem-solving and analytical skills, with a proactive approach to challenges.
- Ability to work collaboratively with cross-functional teams.
- Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines
- Enjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done
- Affinity for media and broadcast domain is a plus
|
RESPONSIBILITIES
- Minimum of 2-3 years of professional experience as a data professional (e.g. data engineer, data scientist) or in a business/IT consulting position
- Strong and proven knowledge in SQL and database cloud solutions, ideally Snowflake, combined with proficiency in standard data architecture design and modelling.
- Expertise in using Python and Git/Github is expected; familiarity with PySpark and Snowpark will be a strong plus
- Experience in creating interactive web apps (e.g., using Streamlit or RShiny) and knowledge of business intelligence tools like Tableau and Power BI are beneficial
- Strong communication and presentation skills.
- Team-player and collaborative (“copy-left” vs “copyright”).
- Proactive, self-motivated, and able to work on different projects in parallel.
|
