**Company: Airteam Aerial Intelligence GmbH Job Description Summary: Airteam is a SaaS startup in the German construction and solar industry, looking for a mid-level Computer Vision Engineer to join their team. They offer a variety of benefits, remote work flexibility, and exciting projects in computer vision and technology integration. The ideal candidate should have commercial experience in data science and machine learning, strong problem-solving skills, and be open to learning new tools. Previous experience in the construction industry and familiarity with their tech stack are considered a plus. To apply, send your CV or Linkedin profile to Airteam. Job Description: Do you want to join an innovative startup in the German construction and solar industry? Airteam, a SaaS startup, offers an AI-powered data processing cloud platform for roofers and solar planners. We’re looking for a talented mid-level Computer Vision Engineer to be part of our dynamic team. You’ll work on cutting-edge projects in computer vision, drone-based 2D to 3D object detection, and automatic geometry reconstruction. Help co-create a digital, climate-neutral product that assists roofers and solar planners in making informed decisions and shape the future of construction technology with us! Why AIRTEAM? Recent Funding: We’re excited to announce our latest round of funding, ensuring our stability and growth. Impressive Scale: We process roughly 1,500 projects a month, serving a wide range of customers, including renowned names. (check out our website) Award-Winning Innovation: Our commitment to innovation has been recognized with prestigious awards in 2023, PV magazine and 2024. Comprehensive Benefits Package: Enjoy perks such as fully paid Urban Sports membership, company pension plan, self development budget, and Lunchit vouchers. Remote Work Flexibility: We understand the importance of work-life balance and offer the possibility to work remotely by contract. Tasks As a Computer Vision Engineer, you will be at the forefront of our technological advancements, working on a variety of exciting tasks and projects: Computer Vision Algorithms: Develop and implement computer vision algorithms for 2D to 3D object detection using data from flying drones. Technology Integration: Collaborate with our engineering teams to integrate machine learning models into our platform. Cross-Functional Collaboration: Work under the supervision of the Head of Machine Learning in a cross-functional team composed of another Machine Learning Engineer, Backend Engineer and dedicated Product Manager to solve business challenges with data driven solutions. End-to-End ML Pipelines: Build end-to-end machine learning pipelines using the GCP ecosystem, Python, Argo, PyTorch, MLflow, and other relevant technologies. Data Processing & Model Deployment: Implement data preprocessing, model training, deployment, and monitoring.Stakeholder Communication: Visualize and communicate your findings to stakeholders to inform decision-making. Requirements Requirements: 3-4 years of commercial experience in data science and machine learning, including exposure to Computer Vision and Deep Learning models. Proven ability to work across the entire machine learning lifecycle, from data preprocessing and feature engineering to model training, evaluation, deployment, and ongoing monitoring. In particular, experience with conda environments and MLflow or comparable technologies. Experience in software engineering, including proficiency in Python, Git/Github, and understanding of containerization technologies (e.g. Docker and Kubernetes) and cloud-based platforms. Strong problem-solving skills and a track record of delivering data-driven insights. Strong communication and teamwork abilities. Open to new challenges and tasks that may require learning new tools or techniques. Your ability to quickly acquire new skills will be a valuable asset to our team. Nice to Have: Previous experience in the construction or related industry. Just do it and goal oriented mentality Experience with the technologies of our techstack: GCP, VertexAI, Pytorch, Conda, Mlflow, Github, and Argoworkflows. Proven ability to build, deploy, and maintain machine learning pipelines and workflows. Just send us your CV or the link to your Linkedin profile and our lovely Hazal from People & Culture will get in touch with you.
“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.
