**Company: Expatrio Global Services GmbH Job Description Summary: Expatrio is a Berlin-based start-up looking for an Analytics Engineer to build data infrastructure, data models, and operational metrics for international students in Germany. Candidates should have over 3 years of experience in data engineering, expertise in AWS Cloud, strong analytical and communication skills, and ideally an AWS certification. English language proficiency is required. Job Description: Expatrio aims to be the best solution for international students in Germany. With a digital platform approach (an all-in-one app) at the interface of Fintech, Govtech, and Edtech, we are accompanying tens of thousands of students on their entire journey from study preparation and visa application to arriving and living in Germany. Always focusing on the most convenient experience for our users, we are aggregating all the needed services and products in one single place and offer bespoke solutions for everyone. Does the position sound interesting to you? Then we would be very happy to receive your application. Your Expatrio team Join Expatrio Expatrio is an ambitious Berlin-based start-up in the field of Fintech and Edtech and currently has a vacancy for the position as Analytics Engineer (f/m/x) Our goal is to make the way to and in Germany as easy as possible for international students. If you want to support us in this goal, then you are exactly right with us! Your role Building robust data infrastructure for scalability and efficiency: You are responsible for developing and maintaining our data infrastructure and architecture, including data lake and data warehouse. Your focus is on ensuring scalability and efficiency to support our growing needs effectively. Crafting comprehensive data models aligned with long-term business goals: Your role involves capturing and translating complex business flows into comprehensive data models. You keep long-term business objectives in mind to ensure that our data models align with our overarching strategic goals. Empowering data-driven decision making through operational metrics: You are tasked with developing and implementing strategies to make key operational metrics readily available to each business area. By enabling data-driven decision making, you help drive the business forward towards success. Implementing cost-effective and efficient solutions: You seek and implement the simplest yet most reliable solutions, demonstrating a strong understanding of cost-effectiveness and efficiency. Ensuring data infrastructure reliability and integrity: Your focus lies on prioritizing the reliability and monitoring of our data infrastructure. Ensuring data integrity and availability is essential to support informed decision making and maintain operational excellence. Leveraging data for compelling business insights: Your responsibility involves developing insightful analysis, visualizations, and dashboards that drive the business forward. By using data to tell compelling stories, you enable stakeholders to make informed decisions and seize opportunities for growth.
Company:Expatrio
Qualifications: Experiences: With over 3 years of experience in data engineering and analytics engineering, you have a proven track record of delivering reliable data solutions at scale. Additionally, you have accumulated more than 3 years of hands-on experience with AWS Cloud, utilizing data services such as Glue, Athena, DMS, and Redshift. Furthermore, your expertise includes proven experience with DevOps techniques, encompassing CICD, multiple environments, and infrastructure as code. You demonstrate a strong understanding of best practices and emerging trends. Skills: You possess strong analytical skills, demonstrating the ability to translate data into actionable insights. Moreover, proficiency in data visualization tools and techniques is a fundamental aspect of your skill set. A plus: An AWS certification would be a significant asset to your profile.
Language requirements:Communication: Your communication skills are excellent, allowing you to effectively convey complex data concepts to non-technical stakeholders. Additionally, excellent English oral and written communication skills are a must. We primarily communicate in English.
Level of experience (years):Mid Career (2+ years of experience)
“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.
