Team Lead Machine Learning Engineer 100%

About Us

Constructor Knowledge AG, a pivotal member of the Constructor Group, is dedicated to fostering innovation and tackling significant global challenges. Our institution is research-driven, uniting experts from diverse fields, including science, technology, business, and management, to create transformative solutions through interdisciplinary collaboration.

Role Overview

As a key player in the Constructor ecosystem, Constructor Knowledge AG provides essential shared services in Switzerland, including research and development, legal, finance, operations, marketing, human resources, and communications. One of our strategic initiatives, Inita, focuses on translating cutting-edge AI research into reliable, revenue-generating products, facilitating entrepreneurs to concentrate on business growth.

Key Responsibilities

• Design, develop, and deploy advanced Machine Learning (ML) models, with an emphasis on optimizing Large Language Models (LLMs) for various NLP and multimodal applications.
• Build and manage CI/CD pipelines while overseeing the complete model lifecycle, ensuring the robustness of production-ready ML systems.
• Continuously evaluate and integrate state-of-the-art research into Inita’s AI stack, managing considerable data pipelines.
• Contribute to cross-functional strategies and product development, transforming advanced AI research into practical, revenue-generating solutions.
• Lead AI projects, ensuring alignment of ML components with business objectives and effective communication with stakeholders.
• Coordinate with backend, infrastructure, and product teams for strategic integration of AI into core products.
• Provide technical leadership and mentorship to ML engineers, promoting 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, and LLM optimization.
• Specialized in building multimodal AI systems that analyze structured, text, and image data.
• Strong programming and deployment skills in Python, TensorFlow, PyTorch, Docker, Flask, and SQL.
• Experience in tech leadership, managing ML engineering teams and complex projects within agile startup environments.
• Adept team lead with an exceptional background in Computer Science, Data Science, or Mathematical Modelling.
• Excellent communication skills in English (written and spoken); proficiency in other languages is a plus.

Nice to Have

• Experience with AWS programming and deployment.
• Teaching experience or leadership in academic group projects related to applied/computational mathematics 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 role in a dynamic startup environment with a competitive salary package.
• The opportunity to be part of an international team.
• Participation in the organization of regular events, contributing to our vibrant community.