**Company: Aequitec AG Salary: CHF 48’000 to CHF 60’000 / year Job Description Summary: This is an opportunity to work directly in corporate law, digital assets, and blockchain for a successful Swiss FinTech and LegalTech firm. As a legal operator intern at Aequitec, you will support customer happiness and work with customers such as Swiss stock companies and the Swiss Stock Exchange. You will have the chance to participate in customer calls, interact with customers, and support in AGMs. The job is suited for those interested in working at a growing Fin- and LegalTech company in Zurich, owning their career, and becoming an expert in corporate finance and legal document engineering. Fluency in German is required for this position. Job Description: This is a great opportunity for you to work directly in corporate law, digital assets and blockchain areas for an established, dynamic and successful Swiss FinTech and LegalTech. If you want to be part of a new entrepreneurial adventure to build and scale a new kind of financial services firm in an open and embracing environment, then we just might have the job meant for you. Tasks As a legal operator intern at Aequitec, your mission is to support the customer happiness team of Aequitec to fulfil the exceptionally high standards of our customers, e.g., board presidents of Swiss stock companies, financial services providers in the inter-banking ecosystem, the Swiss Stock Exchange. At Aequitec, you will: • Join our Aequitec team as a legal operator for up to 6 months. Additionally and optionally, we offer the opportunity of writing your bachelor’s or master’s thesis with us after your internship. • Participate in customer calls with members of the management board and sales colleagues for onboarding customers, administering on our platform and collecting structured customer requirements for product development. • Take entrepreneurial ownership for customer happiness, e.g., define best practices, routines and learning material together with the management board and sales colleagues. • Enjoy the delights of customer interaction on a very frequent basis. • Translate unstructured information of customer data into our software suite. • Support in the execution of AGMs on the customer’s side. • Work together in a diverse team with various cultural backgrounds and life experiences. Requirements The job is a good fit if you enjoy … • Having fun working at a rapidly growing Fin- and LegalTech company in Zurich with a great team. 😊 • Taking ownership of your own career by leveraging the trust given to you working in your home office, e.g. for parallel studies. • Learning from every team member and sharing your experience with everyone on the team. • Becoming a domain-specific expert in the field of corporate finance, corporate governance and legal document engineering. • Collecting and structuring customer requirements for improving the Aequitec product along the customer journey at every point in time. • Scaling and growing a company in an agile framework, i.e., using techniques such as Scrum or Kanban for efficiently capturing client demands and feedback. • Life-long learning about new technologies and toolkits in the broad context of finance, legal and software engineering (e.g. Blockchain, Tokenized Assets, Smart Contracts, Domain-Driven Design). • Educational background: You are currently studying for a degree in Swiss / EU Law, e.g, ZHAW SML or completed a practical education for corporate housekeeping, e.g., as paralegal or notary assistant. • Personal background: You have (1) a strong entrepreneurial mindset and (2) a motivation inflow from voluntary commitments, e.g., working for a local parliament, sports club or any other pro bono commitment. • Language skills: Fluent in German & English, French and/or Italian would be a plus but is not necessary. Benefits You will be … • One of the first team members of a Legal and FinTech that scales from Switzerland. • Work 80 - 100 percent, have flexible working hours, and be able to work mainly remotely, except for customer visits and team workshops in the Zurich area, in line with Swiss tax regulations. • Work with a passionate and experienced team with educational backgrounds from Oxford, NYU, HSG, ETH and relevant work experiences at investment and corporate banks as well as stock exchanges, with diverse interests such as the outdoors, sports, and (board) games. • Have a chance to get to know exciting customers, their enterprises and their success stories. • Take part in company offsites and regular team activities. For this position, we only accept applications from EU or Swiss residents. Applications from agencies are not accepted. The shown salary range applies to a 100 percent equivalent. Finally, please only apply IF you have relevant legal or business experience and fluency in German!
“Fine-tuning” means adapting an existing machine learning model for specific tasks or use cases. In this post I’m going to walk you through how you can fine tune a large language model for sentence similarity using some hand annotated test data. This example is in the psychology domain. You need training data consisting of pairs of sentences, and a “ground truth” of how similar you want those sentences to be when you train your custom sentence similarity model.
Hire an NLP developer and untangle the power of natural language in your projects The world is buzzing with the possibilities of natural language processing (NLP). From chatbots that understand your needs to algorithms that analyse mountains of text data, NLP is revolutionising industries across the board. But harnessing this power requires the right expertise. That’s where finding the perfect NLP developer comes in. Post a job in NLP on naturallanguageprocessing.
Natural language processing What is natural language processing? Natural language processing, or NLP, is a field of artificial intelligence that focuses on the interaction between computers and humans using natural language. NLP is a branch of AI but is really a mixture of disciplines such as linguistics, computer science, and engineering. There are a number of approaches to NLP, ranging from rule-based modelling of human language to statistical methods. Common uses of NLP include speech recognition systems, the voice assistants available on smartphones, and chatbots.
