Overview Unbox Robotics is hiring a Solution Engineer to design and implement flexible automation solutions for clients in e-commerce, retail, and logistics sectors. This role offers exciting employment opportunities for those looking to apply robotics, algorithm design, and optimization
A fully funded 3-year Ph.D. position in Causal AI within the National PhD AI Program at the University of Pisa (Italy) is sponsored by the Ubiquitous Internet (UI) research group of IIT-CNR . We are looking
C++ Engineer – Ultra Low-Latency Trading Systems (Algorithmic Trading / HLS) We are partnering with a well-capitalised proprietary trading firm seeking a highly skilled C++ Engineer to design and optimise ultra low-latency trading systems. This role is
Project Description: Luxoft is one of the major software services companies world-wide. We deliver professional software services in multiple business verticals such as finance, automotive, and digital transformation. Supporting large vehicle manufacturers in the area of
Mission The mission of Speechify is to make sure that reading is never a barrier to learning. Over 50 million people use Speechify’s text-to-speech products to turn whatever they’re reading – PDFs, books, Google Docs, news
We are actively seeking a talented Palantir Data Platform Engineer with strong proficiency in Python programming, modern data engineering practices, and cloud-based platforms. The ideal candidate will have experience building scalable data pipelines, working with distributed
As a Senior Machine Learning Engineer at NTT DATA, you will work alongside experienced Data Scientists, Data and ML Engineers on advanced machine learning and Generative AI initiatives. Your Contribution In This Role Apply hands‑on Generative
Mission Speechify is the easiest way to listen to the world’s information. Articles on the web, documents in the cloud, books on your phone. We absorb it all and let you listen to it at your
Location: Trento (Italy), Torino (Italy), Milano (Italy), Monterotondo (Italy), Pozzuoli (Italy) Remote (Europe-wide) available About Us Since 2007, Crionet has been innovating in the world of professional tennis, delivering advanced technological solutions that enhance the live
Responsibilities Participate in requirements clarification and sprint planning sessions. Design, develop, and maintain scalable data pipelines and solutions within Palantir Foundry aligned with business and project goals. Build and optimize data ingestion, transformation, and integration workflows using
BionIT Labs is a cutting-edge MedTech company dedicated to transforming lives by integrating Information Technologies into Bionics. Our flagship innovation, Adam’s Hand, is the world’s first fully adaptive bionic hand. We specialize in developing advanced robotic
BionIT Labs is seeking a Robotics Specialist to enhance our bionic systems through advanced robotics, edge AI, and NVIDIA-accelerated computing. In this role, you will design algorithms that enable real-time interactions between prosthetic devices and users, leveraging tools
Location: Fully remote from Italy (office space available in Turin). Candidates must reside or be willing to relocate to Italy for tax and legal compliance purposes. No visa sponsorship. Type: Full-time Salary range: €50,000–€60,000 Starting Date:
Experteer Overview As a Senior Machine Learning Engineer at NTT DATA, you will collaborate with Data Scientists and ML Engineers on advanced ML and Generative AI initiatives. You will implement GenAI capabilities across cloud (Azure/GCP) and
Topcon Positioning Group is headquartered in Livermore, California, USA (topconpositioning.com). We design, manufacture and distribute productivity tools for developing a brighter future. Whether cultivating the earth or building upon it, Topcon brings innovation in workflow automation and
Project Description: We are actively seeking a talented Palantir Data Platform Engineer with strong proficiency in Python programming, modern data engineering practices, and cloud-based platforms. The ideal candidate will have experience building scalable data pipelines, working