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Top Artificial Intelligence Jobs in Romania
The Engineering Manager will lead a cross-functional team of engineers and data scientists focused on improving translations using AI and ML. Responsibilities include managing the technical roadmap, mentoring team members, ensuring best practices in software development, and collaborating with product management to meet business goals.
As a Senior Software Engineer, you will work full-stack using React and Node.js to develop AI-assisted collaborative content creation tools. Your responsibilities include innovating with large language models, mastering prompt engineering, collaborating with design teams, and developing robust systems for LLM responses.
The Product Marketing Manager will develop global marketing strategies and go-to-market plans for Canonical's Machine Learning and Data Operations applications. Responsibilities include content dissemination, campaign planning, and product positioning, as well as collaboration with various teams to enhance marketing efforts and customer engagement.
The Sr. Course Development Engineer will create and improve technical courses on CodeSignal’s platform, mentor new team members, and collaborate to maintain high quality in course content.
Join the Architecture, Data & AI department at FLSmidth as an AI Engineer. Develop AI projects, explore GenAI applications, coach colleagues, integrate AI solutions, and stay updated on industry advancements. Requires a Bachelor's or Master's degree in Computer Science or Engineering, strong Python skills, and experience with ML model validation, cloud platforms, NLP techniques, and MLOps.
Seeking a dynamic and experienced engineer to lead the AI Integration team, overseeing design, development, and implementation of software products. Responsibilities include leading and managing engineering projects, hands-on development of AI tasks, collaborating with stakeholders, providing technical guidance, and driving continuous improvement initiatives.
The Senior AI Engineer will design, develop, and deploy AI models for conversational applications using advanced LLM techniques. Responsibilities include collaborating with cross-functional teams, leading end-to-end model development, integrating APIs, evaluating system performance, and mentoring junior engineers.
As a Data & AI Video Content Developer at DataCamp, you'll create engaging educational video content focused on data and AI for social media. Responsibilities include content prioritization, production, and post-production, collaborating with marketing and SEO teams to deliver high-quality materials. Strong communication and organizational skills are key, alongside a passion for data education.
The Senior Data Science/AI Specialist will collaborate with clients to identify their needs, design and implement data science and AI projects. Responsibilities include data analysis, modeling with advanced statistical methods, cloud hosting management, data integration, and visualization, while effectively communicating insights to stakeholders and contributing to business development efforts.
The Senior Data Science/AI Specialist will collaborate with clients to understand their needs, design and implement AI-driven projects, develop statistical models and machine learning algorithms, and integrate multiple data sources. This role also involves creating visualizations, managing communication with stakeholders, and supporting pre-sales efforts for business development.
The Senior Data Science/AI Specialist will collaborate with clients to understand their needs and develop AI solutions, manage data science projects, apply advanced analytics, and communicate insights. Responsibilities include data analysis, cloud hosting, and supporting pre-sales activities.
In this role, you will design, develop, and operate AI features that add customer value. You'll participate in requirements analysis, propose innovative AI solutions, write clean scalable code, and mentor team members while improving performance and security of voice solutions at Aircall.
The AI Engineer will develop and optimize workflows for LipSync and FaceSwapping technologies, work with diffusion models, design APIs, and deploy generative AI solutions utilizing containerization and cloud platforms. Responsibilities also include training and customizing models and ensuring seamless integration of AI solutions.
The Generative AI Engineer will develop and optimize workflows using Comfy-UI and Swarm-UI, focusing on diffusion-based models. Responsibilities include LORA training, model fine-tuning, and leveraging tools like PyTorch and Accelerate to achieve high-quality results in AI modeling.
The AI Engineer will focus on generative AI and TTS technologies, including training and deploying models, optimizing inputs for LLMs and image/video generators, and integrating APIs into applications. The role requires expertise in containerization and cloud deployment for scalable AI solutions.
Join Redis as a Principal Software Engineer to enhance the Vector and Search capabilities. Responsibilities include researching, designing, and implementing advanced algorithms for database systems, optimizing performance, and collaborating with teams to resolve complex issues in high-scale environments.
The AI Software Engineer will develop components of an AI software stack, optimize applications, implement mathematical operators, and validate models on new hardware platforms. The role requires collaboration and a strong desire to learn new skills.
The Senior AI / GenAI Solution Engineer will develop and optimize Retrieval-Augmented Generation workflows, collaborate with teams to gather project requirements, conduct research on AI advancements, and design efficient data indexing and retrieval pipelines. They will also document AI concepts and establish best practices for AI model development and deployment.
As a Senior Data and AI Engineer, you will lead AI strategy, design data pipelines, and deploy AI models using cloud infrastructure while collaborating with teams to integrate AI solutions, ensuring responsible innovation.
The Senior AI Engineer will design, develop, and deploy AI models for conversational applications, collaborate with product and design teams, and integrate APIs using frameworks like FastAPI, Django, or Flask. The role requires mentoring junior engineers and keeping up with AI trends to enhance product functionality.
As a Presales AI/ML Engineer at Neptune, you'll be presenting the product capabilities to AI research and ML teams globally, crafting compelling narratives to accelerate their work and help them achieve AI breakthroughs.
Tech Lead role at Aeris Communications focusing on real-time data ingestion platform using GCP services and AI technologies like Embeddings, LLMs, and RAG. Responsibilities include leading development, AI integration, team leadership, end-to-end ownership, cloud optimization, automation, collaboration, innovation, and quality assurance.
The AI Researcher will design and implement machine learning algorithms, conduct experiments, develop model testing processes, and document findings. They will maintain existing codebases, lead research activities, and assist in talent recruitment while staying updated on AI advancements.
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