**Company: Meltwater Job Description Summary: Meltwater’s Consumer Intelligence AI Team is seeking a Machine Learning Engineer with experience in NLP or Computer Vision, strong coding skills, and a passion for AI. The chosen candidate will work on developing AI features for the Consumer Intelligence platform, collaborating closely with product teams, and staying up-to-date with the latest machine learning advancements. The ideal candidate will have 2-3 years of experience as a Machine Learning or NLP/CV engineer, a background in Computer Science or related field, and experience with building NLP models. Additional qualifications include proficiency in Python, Scala, Java, and/or other equivalent languages, expertise in MLOps and DevOps principles, and experience with distributed frameworks such as Spark and Kafka. The position offers various benefits including paid time off, transportation refund, healthcare insurance coverage, and professional development opportunities. The hiring process involves initial contact with the HR team, meetings with AI team members, an online technical interview, and discussions with the VP Engineering. Location is 8, rue du Renard, Paris, with a start date of 19th September. Meltwater is committed to creating an inclusive and diverse workplace, and encourages applicants from all backgrounds to join the team. Job Description: Description What We’re Looking For: Meltwater’s Consumer Intelligence AI Team is looking for a Machine Learning Engineer who will be working on developing new innovative Natural Language Processing or Computer Vision features relying on the literature’s state of the art. Those features are meant to be integrated in our Consumer Intelligence platform meaning that your work will be used by our customers. We are looking for someone with a creative, proactive, collaborative, and innovation focused mindset. You will work alongside a team of passionate machine learning engineers driven by enthusiasm for adopting new technologies and excitement about making the difference for customers using applied AI. You will take complete ownership of the AI features you develop : from their conception to their implementation in the product. Our team is organized over 3 objectives : innovation, research and production. • Innovation: We leverage our AI expertise to constantly imagine new business… oriented features to enhance our products. • Research: To implement our algorithms, we need to stay up-to-date to the latest breakthroughs over the Machine Learning world as well as the latest frameworks. • Production: We make a point of designing and developing our algorithms in a software engineering fashion. Scalability is our goal. The models that we develop are running over billions of documents (text or image) per day. What You’ll Do: • Drive the development of new industrial level projects from ideation to deployment. This includes deep expertise in areas such as early ideation & prototyping, research, infrastructure, scalability, monitoring, and evaluation of AI systems • Collaborate closely with product teams in their domains, building domain expertise, and leveraging ML to solve critical business problems • Keep up-to-date with the latest advancements in machine learning to stay current on emerging techniques to solve novel problems What You’ll Bring: • 2-3 years of experience as a Machine Learning or NLP/CV engineer • Passion for AI, with a constant drive to stay updated and ahead of the curve • Demonstrable experience with the full lifecycle of machine learning models - from development to deployment and monitoring • You have strong engineering and coding skills, with the ability to write high quality production grade code. Proficiency in Python, Scala, Java and/or other equivalent languages • Exceptional problem-solving, analytical skills and the ability to tackle complex problems with a critical thinking approach • MS or PhD in Computer Science, Engineering or a related technical field • Experience building LLM applications or RAG products using Python (Langchain, LlamaIndex, Guardrails, etc.) • Proven track record of delivering NLP models to solve industry-scale problem • Experience with MLOps and DevOps principles and technologies (e.g. CI/CD, Terraform, Containerization, Kubernetes) • Experience with distributed frameworks in a production context (Spark, Kafka, …) is a plus • Experience with Information Retrieval systems in a production environment (Elasticsearch, Milvius, Vespa, …) is a plus What We Offer: • Enjoy 25 days of annual paid time off plus an additional day off on your birthday! • Receive a Lunchr voucher, enhancing your daily dining experience with convenient and flexible meal options • Benefit from a 50% transportation refund or bike km refund, easing your commuting expenses and promoting sustainable travel choices • Access to Henner for healthcare insurance coverage • Complimentary CalmApp subscription for you and your loved ones, because mental wellness matters. • Energetic work environment with a hybrid work style, providing the balance you need • Benefit from our family leave program, which grows with your tenure at Meltwater. • Thrive within our inclusive community and seize ongoing professional development opportunities to elevate your career. What’s Next • First contact with HR team • First contact to meet some of the AI members • Some AI team members will guide you through an online technical interview • Discussion with the VP Engineering Where You’ll Work: 8, rue du Renard - 75004 Paris When You’ll Join: 19th September Our Story The sky is the limit at Meltwater. At Meltwater, we believe that when you have the right people in the right working environment, great things happen. Our best-in-class technology empowers our 27,000 customers around the world to analyze over a billion pieces of data each day and make better business decisions. Our award-winning culture is our north star and drives everything we do – from striving to create an environment where all employees do their best work, to delivering customer value by continuously innovating our products — and making sure to celebrate our successes and have fun along the way. We’re proud of our diverse team of 2,300+ employees in 50 locations across 25 countries around the world. No matter where you are, you’ll work with people who care about your success and get the support you need to reach your goals. So, in a nutshell, that’s Meltwater. We love working here, and we think you will too. Equal Employment Opportunity Statement Meltwater is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: At Meltwater, we are dedicated to fostering an inclusive and diverse workplace where every employee feels valued, respected, and empowered. We are committed to the principle of equal employment opportunity and strive to provide a work environment that is free from discrimination and harassment. All employment decisions at Meltwater are made based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, veteran status, or any other status protected by the applicable laws and regulations. Meltwater does not tolerate discrimination or harassment of any kind, and we actively promote a culture of respect, fairness, and inclusivity. We encourage applicants of all backgrounds, experiences, and abilities to apply and join us in our mission to drive innovation and make a positive impact in the world
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“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.