Constructor TECH is an all-in-one platform for education and research. With expertise in machine intelligence and data science, Constructor is built to cater to the needs of schools, higher education, corporate training, alternative credentials, and professional sports, offering solutions for teaching and administration, learning and research.
From infrastructure to applications, Constructor elevates learning experiences, empowers educators, and drives research breakthroughs.
Our headquarters is situated in Switzerland. Also, we have entities in Germany, Bulgaria, Serbia, Turkey, and Singapore.
We are seeking a highly skilled and motivated Senior Machine Learning Engineer focusing on Natural Language Processing (NLP) and Large Language Models (LLM). The successful candidate will drive research and development, generate insightful reports, perform comprehensive data analysis, and optimise workflows and intelligent agents within the AI industry.
DUTIES & RESPONSIBILITIES:
- Lead the design, development, and implementation of cutting-edge machine learning models, intelligent agents, and data processing pipelines with a strong focus on NLP and LLM technologies. Contribute to research initiatives and produce detailed reports to support strategic decision-making.
- Develop scalable and efficient methods for large-scale data analysis, extracting actionable insights.
- Collaborate with cross-functional teams to understand their business needs and optimize workflows, enhancing decision-making processes by integrating intelligent systems.
- Work closely with the team to design and develop robust data processing pipelines, ensuring seamless integration and scalability of machine learning solutions.
QUALIFICATION & EXPERIENCE:
- Bachelor’s degree in Computer Science, Mathematics, or a related field.
- Over 5 years of experience in Machine Learning, Deep Learning, and Natural Language Processing, with a strong grasp of contemporary ML and DL libraries.
- Proven experience (3+ years) with Python 3 and its core libraries, including NumPy, SciPy, Pandas, SciKit-Learn, and visualization tools like Matplotlib and Plotly.
- Proficiency in text analysis and NLP techniques.
- Experience with Large Language Model libraries such as Langchain and LlamaIndex.
- Familiarity with agentic frameworks, including Autogen and CrewAI.
- Demonstrated outstanding analytical and problem-solving abilities.
- Experience with version control systems (e.g., Git), containerization tools (e.g., Docker), and virtual environments (e.g., Conda/Virtualenv).
- Familiarity with MLOps practices.
- Experience with cloud platforms such as AWS, GCP, or Azure.
OPTIONAL QUALIFICATION:
- Experience with administering and optimizing databases (e.g., SQL, NoSQL) for efficient data retrieval and storage, particularly in the context of machine learning applications.
- Proficiency in advanced statistical analysis and experimental design to validate model performance and drive data-driven decision-making.
- Expertise in designing and implementing robust ETL pipelines to ensure data quality and accessibility for machine learning workflows.
- A track record of published research in reputable AI/ML conferences or journals, showcasing expertise in the field.
Constructor fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board committed to building a diverse and inclusive organization where everyone can become their best self. We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or other protected characteristics. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.
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What We Do
Constructor group is a global institution dedicated to creating knowledge through science, education, and technology. Our integrated, self-sustainable ecosystem focuses on the five fundamental technology needs expected to contribute to solving the current challenges of the world: general intelligence, quantum technology, intelligent materials, hybrid reality, and life engineering.Our knowledge ecosystem combines extensive education offers covering the entire learning lifecycle from K-12 to post-graduate programs and courses for executives, highly efficient research capacities, and commercial operations for our technology breakthroughs.The Constructor ecosystem comprises Constructor University, a non-profit, research-oriented private university located in Bremen, Germany, and an institute in Schaffhausen.Several ventures market our technology innovations: Alemira and Learning focus on advanced solutions in Educational Technology, executive education, and consulting services. Rolos delivers a platform boosting research productivity and develops MI for robotics and driverless mobility. Capital and Start Garden further strengthen our ecosystem by offering funding and start-up incubation capacities.
