**Company: VASS Job Description Summary: VASS, in partnership with the European Commission, is seeking an expert in AI/ NLP/ ML to work in Belgium. The job responsibilities include coordinating the design and implementation of AI solutions, proposing machine learning models, supporting generative AI solutions, engaging with colleagues from various teams, and following AI developments within the European Commission. The job requirements include a minimum of 5 years of professional experience in developing AI solutions, strong knowledge of machine learning techniques and algorithms, experience with cloud services, and the ability to adapt to evolving technologies in AI. The specific expertise required includes proficiency in Python and R, experience with Semantic NLP techniques, and hands-on knowledge with Large Language Models. VASS is a leading digital solutions group based in Madrid, Spain, with a presence in 26 countries and over 4,700 professionals. Job Description: CV Submission until 17.04.2024 Service delivery: Near site Brussels The services shall be performed remotely in Near-site location allowing the service providers to be on site at the Commission premises in Brussels within 2 hours. VASS, in partnership with the European Commission, is currently seeking an Expert in AI/ NLP/ ML to work in Belgium. Job Responsibilites: • Coordinate the design and implementation of AI solutions; • Propose adequate machine learning models and employ NLP techniques to extract valuable insights from large datasets; • Support the development of generative AI solutions in knowledge management; • Engage with colleagues from various teams, analyze business requirements and translate them into AI solutions; • Follow AI developments within the European Commission. Attend meetings on AI and prepare briefings for the management. Job Requirements: • Minimum 5 years of professional experience in developing AI solutions, including machine learning and NLP… Proven…… experience with Deep Learning models and NLP techniques; • Excellent knowledge of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, Decision Forests, Neural Network, and/or artificial intelligence frameworks; • Experience with cloud services (AWS, Azure, Google Cloud); • Ability to adapt to evolving technologies and methodologies in AI; • Experience in cleaning and preparing data for AI/ML models; • Minimum 3 years of experience with cloud services (AWS, Azure, GCP) and containerization tools (e.g. Docker) for the deployment of AI and machine learning applications. Experience with Knowledge Graphs and SPARQL is an asset; • Minimum 2 years of experience with version control systems (Git Hub) and ETL tools (e.g. dbt, Airflow); • Technical proficiency regarding database design development, data models, techniques for data mining, and segmentation; • Solution-oriented and accuracy to detail; • Ability to cope with fast changing technologies used in application developments; • Knowledge of European Commission IT environment is an asset SPECIFIC EXPERTISE: • Minimum 3 years experience and expertise in the command of Python and R proficiency with relevant libraries, including but not limited to NumPy, Pandas, Scikit-learn, SpaCy, NLTK, PyTorch, TensorFlow, HuggingFace, dplyr, stringr, tidymodels, torch for R, ggplot. • Minimum 1 year experience (expertise) of Semantic NLP techniques, including semantic representation, text splitting, analysis, similarity and parsing. • Hands-on knowledge with Large Language Models (e.g. OpenAI, LLaMa and Mistal); • Outstanding communication skills and ability to deliver presentation to both business and technical audiences; • Excellent command of English. Good command of French; WHO ARE WE? VASS (https://vasscompany.com/en/) is a leading digital solutions group of companies headquartered in Madrid, Spain, present in 26 countries in Europe, the Americas and Asia with more than 4,700 professionals VASS helps large companies in their digital transformation process, developing and executing the most innovative and scalable projects, from strategy to operations. All our growth comes from our talented people, passion for innovation, and a constant search for improvement, always the VASS way: “Complex made simple” Company: VASS Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Belgium, Industry, Language Modeling, Neural Networks, NLP, Parsing Company: VASS Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Belgium, Industry, Language Modeling, Neural Networks, NLP, Parsing
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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.
