**Company: Data Wizards Job Description Summary: Data Wizards is looking for a Machine Learning Engineer with a Master’s degree in a technical field, 2 years of experience in AI/ML solutions, fluency in French/Dutch and English, expertise in AI/ML, Python, SQL, and cloud environments. Personal skills include independence, a positive attitude, curiosity, and communication skills. The company offers a competitive salary and benefits package. They strive to create a great workplace with interesting projects and a positive impact on society. Apply now to join Data Wizards. Job Description: Want to build impactful AI solutions? If so, this is the place to be! Our mission 🚀 We partner up with ambitious and innovative companies to accelerate their adoption and use of Artificial Intelligence. We help our customers define the best use cases to work on and help them go from idea to implementation. As an Machine Learning Engineer, you will play a crucial role in our project lifecycle. Your responsibilities will span from defining business and technical requirements up to solution delivery. Your background 👤 • Master’s degree in a technical field (Computer Science, Engineering, or related) • 2 year of hands-on experience delivering AI/ML solutions in production • Fluency in French/Dutch and English Technical expertise 🖥️ • Expertise in AI/ML (experience with LLMs is a big plus) • Putting models into production and following MLOps best practices • Strong expertise in Python and SQL • Comfortable working in a cloud environment (bonus points for Azure) Personal skills…… 🤓 • You are able to work independently and take on projects from intake to delivery • “Can do” attitude and hacker mentality • Curious and always willing to improve • Ability to communicate technical results to non-technical people Our offer đź’° Our package offer includes a competitive salary and a range of benefits such as: • Company car with fuel • Representation allowances • Hospitalization and dental insurance • Meal vouchers • Top-notch laptop and smartphone • 30 days paid time off • Great career opportunities, culture and trainings Why us? 🧙♂️ We strive to deliver the best and most impactful AI solutions to our customers. To do so, we need your talent! Our ambition is to create the best workplace for you, with interesting projects, great colleagues and positive impact on society. Ready to join Data Wizards? Apply now! 🧙 Company: Data Wizards Qualifications: Language requirements: Specific requirements: Educational level: Level of experience (years): Senior (5+ years of experience) Tagged as: Belgium, Industry, Machine Learning, NLP
Company:Data Wizards
Qualifications:
Language requirements:
Specific requirements:
Educational level:
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.
