INNIO Careers

Description

What INNIO offers you:

• An innovative and international working environment
• Flexible working time model (depending on position and role)
• Health We Care program – including company sports activities
• Moving cost support for new employees in accordance with policy
• Good connections to public transport – station in direct proximity
• Transportation cost support in accordance with policy
• One of the best canteens in the area with healthy and various meals
• Attractive location in the heart of the Alps with various outdoor sports and leisure possibilities

Your Responsibilities:

• Work in the Data Science Team of the INNIO Digital organization on data science and software development tasks with a strong focus on backend development for Generative AI products (chatbots, agents, copilots based on Large Language Models)
• Apply advanced machine and deep learning methods to large time-series data from multiple sources
• Implement Python applications deployed on INNIO’s cloud-based IoT platform
• Conduct code reviews and ensure compliance with code quality and technical guidelines
• Use modern software design processes and tools for concept, design, and testing of software for current and new products
• Collaborate with software product managers to implement and release features that meet stakeholder needs

Your Profile:

• Bachelor’s or Master’s degree (or equivalent) in Computer Science, Mathematics, or a related field
• Proven track record in implementing Python applications and web services using frameworks such as Dash, Flask, or FastAPI
• Skilled in working with LLM APIs (e.g., OpenAI API) and tool orchestration with MCP, LangChain or similar
• Strong background in designing, developing, and validating machine learning models with Python, PyTorch, TensorFlow, or SciKit
• Confident handling both relational and NoSQL databases
• Comfortable consuming REST and GraphQL APIs to integrate diverse data sources
• Bonus points for hands-on experience with large time-series data sets, Prefect pipelines, MLOps (MLflow), cloud-based microservice architectures (Kubernetes, Docker), or additional programming languages such as Java or JavaScript

At INNIO, we offer an attractive compensation package that is above the collective agreement for the metal industry. Your qualifications and experience will be considered in an open dialogue during the recruiting process to ensure a market-competitive compensation package.