About Constructor Knowledge AG
Constructor Knowledge AG, formerly known as Constructor Operations AG or Schaffhausen Institute of Technology Operations AG, is a wholly owned subsidiary of Constructor Group AG. As an integral part of the broader Constructor ecosystem, Constructor Knowledge AG operates within a global, research-driven institution dedicated to fostering innovation and tackling some of the world's most pressing challenges.
The Constructor Group unites experts from diverse fields—including science, technology, business, and management—to develop transformative solutions through interdisciplinary collaboration.
Within this ecosystem, Constructor Knowledge AG plays a central role by providing essential shared services in Switzerland that support various entities and projects across the network. These services encompass research and development, legal, finance, operations, marketing, human resources, and communications. By delivering these capabilities, Constructor Knowledge AG ensures the efficient and effective functioning of the entire ecosystem.
About the Project: Inita
One of the strategic projects supported by Constructor Knowledge AG is Inita, an initiative focused on transforming cutting-edge AI research into reliable, revenue-generating products. Inita’s intelligent AI manages the tedious aspects, allowing entrepreneurs to focus on what truly matters: growing their business.
Position: Team Lead Machine Learning Engineer
To accelerate this mission, we are seeking a Team Lead Machine Learning Engineer to join us and help drive the development of our next generation of AI-powered solutions.
Key Responsibilities:
- Design, develop, and deploy advanced ML models, optimizing Large Language Models (LLMs) for diverse NLP and multimodal applications (text, image, structured data) and Visual Language Models (VLM)
- Build and manage CI/CD pipelines and oversee the full model lifecycle, ensuring robust, production-ready ML systems.
- Continuously evaluate and integrate state-of-the-art research into Inita’s AI stack to maintain a leading edge in innovation.
- Contribute to cross-functional strategy and product development, translating advanced AI research into practical, revenue-generating solutions.
- Lead AI projects, ensuring all ML components align with business objectives, while effectively communicating with stakeholders and the leadership team.
- Coordinate closely with backend, infrastructure, and product teams for the strategic integration of AI into core products.
- Provide technical leadership and mentorship to a team of ML engineers, ensuring knowledge transfer, training, and capability building.
Required Skills & Expertise:
- Proven track record in applied ML (7+ years) with advanced expertise in deep learning, NLP, computer vision, Visual Language Model, and LLM optimization.
- Specialized expertise in building multimodal AI systems that integrate and analyze structured, text, and image data.
- Strong programming and deployment skills in Python, TensorFlow, PyTorch, Docker, Flask, and SQL.
- Tech leadership experience managing ML engineering teams and complex projects, particularly in fast-paced startups.
- Team Lead experience.
- Exceptional background in Computer Science, Data Science, Mathematical Modeling, or equivalent;
- Excellent English communication skills (written and spoken); proficiency in other languages is a plus.
Nice to Have:
- Programming and deployment skills in AWS.
- Teaching experience and/or academic group project lead experience in applied/computational mathematics and/or computer science.
- Strong foundation in Classical Machine Learning and Deep Learning methods.
- Experience with Generative AI and production-grade web services.
What We Offer:
- An attractive job in a start-up environment with a competitive salary package.
- Opportunity to be part of an international team.
- Opportunity to contribute to and participate in the organization of regular events.
To apply, please apply online using the form below. Only applications matching the job profile will be considered.