**Company: Xomnia Job Description Summary: Xomnia is looking for a skilled machine learning engineer with experience in algorithm development and implementation, as well as a background in computer science, data science, or artificial intelligence. The ideal candidate will have at least 3 years of experience in a similar role, along with expertise in statistics, mathematics, data wrangling, and building data pipelines. Additionally, proficiency in Python, software engineering, and experience with cloud environments such as Azure, GCP, or AWS is required. The candidate should also have a strong interest in staying up-to-date with the latest machine learning techniques and technologies, as well as a passion for sharing knowledge and collaborating with clients. Xomnia offers competitive salary, professional network, development budget, office in Amsterdam, and other benefits to the successful candidate. Job Description: ✔ Are you a skilled machine learning engineer with a strong background in algorithm development and implementation? ✔ Are you looking for a role that combines hands-on technical work with consulting? ✔ Do you get satisfaction from seeing your models and algorithms being used in real-world applications? ✔ Do you enjoy being part of a team of experts who are passionate about machine learning and AI? Then Xomnia is the place for you! As a Machine Learning Engineer at Xomnia, your work for our clients will range from building data pipelines, to data exploration and modelling, to productionizing your models, and deploying them in a cloud environment. In the past our team has for example optimized the electricity grid for the future, ensured you have stable internet connection at home and worked together with LUMC on cancer research. Together with the team, you will follow and set the best practices in modelling, programming, automation and CI / CD. At Xomnia, we value knowledge… sharing and staying ahead of the curve in our constantly evolving field. We are looking for a team player who is dedicated to keep learning, and enjoys sharing knowledge with others. Please note that for this position, we are looking for candidates that have the legal right to work in the Netherlands as we do not offer visa sponsorship. What you will be working on • Collaborating with a cross-functional team at our client to understand business requirements and identify opportunities for applying machine learning • Designing and implementing machine learning models using a variety of techniques • Developing and maintaining machine learning pipelines, including data preprocessing, model training, evaluation, and deployment • Analyzing and interpreting results to inform decision-making and drive continuous improvement • Staying up-to-date with the latest machine learning techniques and technologies and apply them to business problems as appropriate • Following and setting best practices in modeling, programming, automation, and CI/CD What you will need • A minimum of 3 years experience in a position such as a machine learning engineer, data scientist or data engineer, building scalable solutions to bring models to production • A degree in computer science, data science, artificial intelligence or similar • Experience in data wrangling and building data pipelines • Advanced knowledge of statistics and mathematics • Experience with building batch and streaming ETL pipelines • Excellent Software Engineering skills in Python (bonus: Scala or Java) • Experience with containerization (Docker), CI / CD and testing • Experience in working with at least one cloud environment (Azure, GCP, AWS) • Keen on sharing knowledge and being eager to keep developing yourself • Affinity for consulting and a drive to help clients What we offer • Competitive salary • Professional network • Laptop of choice • Work-from home package • Office in the heart of Amsterdam • Annual & personal bonus • €5.000,- Development budget • Xomnia trips • Ability to take unpaid leave • 25 vacation days • Cool merchandise • Organized team activities • Option to buy shares at Xomnia • Pension scheme • Phone allowance • Full compensation of travel costs • Free healthy lunches at the office • Friday drinks every week About us Xomnia is a leading AI consulting company. We’re curious problem-solvers who believe data will change the way we live, work and communicate. Being at the forefront of this revolutionary change in a sustainable, positive way is what drives us. We develop and deploy tailor-made data science solutions. From developing an application for real-time fraud detection on Google Cloud Platform, to setting up a customized recommender engine in an existing Azure environment, we solve challenging data science and engineering projects from start to finish. Xomnia started in 2013 in a room in the heart of Amsterdam. These days, we take up a building near Prinsengracht, and it still feels like home. Like any family, we all feel comfortable just being ourselves
Company:Xomnia
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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.
