*Company: CHAOS Job Description Summary: Chaos is looking for a Machine Learning Engineer to be based in Sofia, Bulgaria or Prague, Czech Republic. The responsibilities include designing and developing machine learning models for various solutions, mentoring other engineers, collaborating with cross-functional teams, and staying updated on the latest developments in machine learning. The ideal candidate should have a Master’s or Ph.D. in Computer Science or related field, 5+ years of experience in developing machine learning models, proficiency in Python and machine learning frameworks, and strong problem-solving skills. The company offers a competitive remuneration package, flexible working hours, work from home options, and a focus on continuous professional development. Interested candidates can apply by submitting their resume and 3D portfolio. Job Description: Chaos is the world’s largest 3D visualization software company, and for over 20 years has empowered artists, designers, and architects to visualize anything they can imagine. Chaos offers intuitive and powerful workflows for creatives across the entire design spectrum, including architecture, engineering, construction, product design, manufacturing, and media and entertainment. Research and development at Chaos is leading the way towards a truly comprehensive end-to-end visualization ecosystem to meet the evolving needs of existing and new customers. In 2022 Chaos merged with Enscape and acquired Cylindo. For more information, visit chaos.com, enscape3d.com, and cylindo.com. Machine Learning Engineer • This position can be based in Sofia, Bulgaria, or Prague, Czech Republic with hybrid working options. Applicants must have a work/residence permit for the respective location. Main Responsibilities: • Design, develop, and optimise machine learning models in one or more solutions… including asset generation and capture, render enhancement, scene intelligence and optimisation and intuitive design interactions. • Mentor other engineers and contribute to the growth of the team’s knowledge and expertise in machine learning. • Collaborate with cross-functional teams and our ML Product Manager to define the product requirements, and scope of delivery of solutions to product teams. • Collaborate with cross-functional teams to understand requirements and gather feedback to refine one or more initiatives. • Work closely with our MLOps Engineer to develop and maintain pipelines for training, validating, testing and deploying machine learning models across our portfolio. • Stay updated and share knowledge on the latest developments in machine learning, natural language processing, and 3D visualisation, and implement cutting-edge techniques to enhance our solutions. • Ensure high-quality code and documentation, following best practices in software development and machine learning. • Master’s or Ph.D. in Computer Science, Machine Learning, or a related field. • 5+ years of experience in developing machine learning models and deploying them in production environments. • Strong expertise in one or more of relevant fields including : 3d computer graphics, geometry processing, asset generation, scene understanding, natural language processing, real-time collaboration, and intelligent design optimization techniques. • Proficiency in Python and machine learning frameworks such as TensorFlow or PyTorch. • Excellent problem-solving skills and ability to work independently as well as in a team. • Strong communication, collaboration, and leadership skills, with the ability to guide and mentor team members. Why Chaos? • Working for a globally recognized 3D software company for its cutting edge products and proven track record in innovation, honoured with Emmy® and Academy Awards® for its contributions to television and film • Working alongside talented people in an international and diverse environment which fosters learning and knowledge-sharing • Supplemental health insurance • Strong focus on work-life balance: Flexible working hours, work from home and additional days off • Competitive remuneration package • Commitment to continuous professional development, through technical training programmes, certifications and conference attendance. • New & modern office with free parking space for everyone. • Special Discounts (Please note that the above-mentioned benefits are available for the Bulgaria location. For any other location they might vary, feel free to discuss with your talent acquisition partner or hiring manager) We welcome people who value teamwork, stick to their commitments and are curious to explore new ways for achieving mastery. If you think your profile is a good match for this role at Chaos, just send us your resume and your 3D portfolio! Please make sure you get familiar with our Privacy Notice before you apply for the job. Only short-listed candidates will be contacted. Confidentiality of all applications is assured
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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.
