**Company: N26 Job Description Summary: The company N26 is looking for a Machine Learning Engineer with a strong background in software engineering to help build production-ready Data Science solutions. The role involves contributing to existing applications, designing new infrastructure to support Data Science projects, and working on various projects on the N26 roadmap. The successful candidate should have expertise in software engineering and a good understanding of Data Science fundamentals, along with at least 3 years of experience in developing and maintaining Machine Learning services. Additional qualifications include extensive software development experience with Python, expertise in working with technologies like Terraform, Kubernetes, AWS, or Kafka, and a strong willingness to continuously learn and challenge the status quo. Employees will have access to various benefits, such as a personal development budget, work from home budget, and more. N26 is an equal opportunity employer that values diversity. Job Description: About the opportunity We are looking for a Machine Learning Engineer with a strong focus on software engineering to help us build production-ready Data Science solutions. At N26, the Data Science and Machine Learning Engineering teams develop practical applications to enable innovative products and features for millions of users. In this role, you will: • Contribute to, and improve existing Data Science applications • Design and implement new Data Science infrastructure that supports experimentation, development, and productionisation of new and existing Data Science applications • Work on a wide range of projects on the N26 roadmap in different fields, including credit modelling, fraud prevention, NLP, and LLMs. What you need to be successful: Background: • Expert in Software Engineering • Good understanding of Data Science fundamentals Profile: • 3+ years of experience in developing, deploying and maintaining Machine Learning services that meet highest standards of code… quality, performance and reliability • Extensive software development experience with Python • Nice to haves: • Expertise in working with Terraform, Kubernetes, AWS, or Kafka • Experience building a Feature Store, Model Registry, Workflow Orchestration, or other technologies supporting the Data Science project lifecycle Traits: • Continuously learn and challenge the status quo • Think globally, act locally • Strong bias for action • Give and receive open, direct and timely feedback What’s in it for you: • Accelerate your career growth by joining one of Europe’s most talked about disruptors 🚀. • Employee benefits that range from a competitive personal development budget, work from home budget, discounts to fitness & wellness memberships, language apps and public transportation. • As an N26 employee you will have access to a Premium subscription on your personal N26 bank account. As well as subscriptions for friends and family members. • Vacation days vary depending on your location of work. Additional day of annual leave for each year of service. • A high degree of autonomy and access to cutting edge technologies - all while working with a friendly team of peers of diverse nationalities, life experiences and family statuses. • A relocation package with visa support for those who need it. Who we are N26 has reimagined banking for today’s digital world. Technology and design empower everything we do and it’s how we are building the global banking platform the world loves to use. We’ve eliminated physical branches, paperwork, and hidden fees for an elegant digital experience and supreme savings. Giving people the power to live and bank their way is what gets us out of bed in the morning and inspires the work that we do. Founded in 2013, N26 now has more than 8 million customers in 24 markets. We are headquartered in Berlin with offices in multiple cities across Europe, including Vienna and Barcelona, and a 1,500-strong team of more than 80 nationalities. Sounds good? Apply now for this position. N26 is an equal opportunity employer and values diversity. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status or disability status
Company:N26
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Level of experience (years):Senior (5+ 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.
