MOIN,
BERLIN

Job Opportunity: AI Researcher (Speech Processing)Specialization: ASR, TTS, Voice Synthesis & AILocation: AmsterdamSalary: Competitive, negotiable depending on experienceAbout UsDeepRec.ai are delighted to be collaborating with a leading research center in Amsterdam, focused on cutting-edge AI and voice technologies. Specializing in ASR and TTS, we’re seeking an innovative researcher passionate about voice synthesis, voice conversion, and AI-driven research.Your RoleAdvance Speech Technologies: Conduct research in ASR and TTS, including projects in voice cloning and conversion.Develop Innovative Models: Create advanced algorithms for speech recognition, synthesis, and voice conversion.Evaluate Across Languages: Test ASR and TTS systems in multiple languages using varied metrics.Collaborate and Deploy: Work with researchers and engineers to integrate your work into scalable solutions.Publish Your Research: Present findings at conferences and in leading journals.Partner with Linguistic Experts: Collaborate with native speakers to enhance multilingual performance.QualificationsEducation: PhD or Master’s in Computer Science, Electrical Engineering, or a related field.Experience: At least 3 years in ASR and TTS, with a record of delivering impactful solutions.Technical Skills: Proficient in Python, with hands-on experience in PyTorch or TensorFlow for speech synthesis.Communication: Strong written and verbal skills; ability to work in a diverse, collaborative team.Language: Fluent in English; proficiency in additional languages is a plus.What's On OfferCompetitive Salary and BenefitsAccess to High-Performance ResourcesCollaborate with Global Experts

Job Opportunity: Senior Machine Learning EngineerAre you passionate about using AI to solve real-world challenges? Join a pioneering team dedicated to revolutionizing sustainability through cutting-edge technology. In this role, you won’t just work on projects—you’ll drive innovation that makes a global impact.Location: Flexible hybrid work with a modern office in Bremen, Germany.Your Mission: As a Senior Machine Learning Engineer, you’ll play a key role in developing and deploying advanced AI solutions. Your expertise will set new standards in AI-driven technologies, particularly in computer vision and time series analysis. This is an opportunity to lead complex projects from concept to production, working with a diverse team to build scalable, impactful solutions.What We Offer:A significant role in shaping the future of AI products in an innovative and sustainable industry.Flexible working hours and the option for home office arrangements.A dynamic, agile environment with flat hierarchies and creative freedom.Collaboration with a multidisciplinary team of experts in machine learning, computer vision, data science, and product development.Key Responsibilities:Innovative AI Development: Design and implement advanced ML models for tasks such as object recognition, image segmentation, forecasting, and anomaly detection.Integration and Optimization: Develop scalable, efficient algorithms and integrate them into real-world applications.Research & Innovation: Stay at the forefront of AI advancements, leveraging state-of-the-art technologies like deep learning and large language models.Technical Leadership: Mentor junior engineers, lead code reviews, and promote best practices for AI development.Deployment & Optimization: Ensure reliable deployment of models into production environments, with ongoing monitoring and enhancement.Your Qualifications:At least 4 years of experience in AI solution development, particularly in computer vision and time series analysis.Proven success in implementing complex models in practical, production-ready applications, ideally cloud-based.Proficiency in Python, C++, and frameworks like TensorFlow or PyTorch, as well as tools such as OpenCV and scikit-learn.Strong mathematical foundation in areas like linear algebra and optimization, with experience in analyzing large datasets.Excellent communication and leadership skills for cross-functional collaboration.Proficiency in German and English is highly desirable.Additional Details:Position type: Full-time, permanent.Working hours: Monday to Friday.Hybrid work model, with some on-site presence in Bremen required.

Role: 🎵 Senior/Lead Audio Researcher – Music GenerationLocation: 📍 Israel Preferred / 🌍 Remote Considered (Europe)Salary: 💰 Highly Competitive (negotiable depending on experience)The Company:DeepRec.ai are working with a cutting-edge AI company developing tools that empower creators and businesses to produce innovative, high-quality content. As they expand into AI-driven music generation, they seek a Senior Audio Researcher to lead this effort, combining advanced research, engineering, and leadership to drive groundbreaking developments in generative audio technology.Role Overview:You will design and train state-of-the-art generative audio models, focusing on encoding and decoding audio signals for music creation. As a key leader, you’ll guide a team, publish research, and develop scalable systems for real-world applications, shaping the future of AI-driven music.Key Responsibilities:Lead research on large-scale generative audio models for music and audio signal processing.Build and optimize scalable systems for music generation.Guide and mentor multidisciplinary teams, fostering collaboration and innovation.Publish findings in top-tier conferences and represent the company in industry events.Explore synergies between music and speech generation models.Qualifications:Advanced degree in a relevant field (PhD preferred).Proven experience in training large-scale generative audio models and encoding/decoding audio.Proficiency in Python, deep learning frameworks, and audio signal processing.Strong publication record in top-tier conferences (e.g., NeurIPS, ISMIR).Excellent communication and leadership abilities.What's on Offer:Competitive salary and benefits.Opportunity to lead an innovative AI-driven music initiative.Flexible, collaborative work environment.

Searching for a Senior Computer Vision Engineer to join a client in Munich centre. They are using Computer Vision and Deep Learning to detect if people are unwell by noticing very slight changes in their skin colour, pulse, blood pressure etc. This is all done through commercial grade cameras.Responsibilities:• Develop and optimize computer vision models for real-time health monitoring. • Work on facial analytics and build models that can detect subtle changes in facial features and color. • Implement and fine-tune deep learning models, particularly video transformers. • Collaborate closely with cross-functional teams to bring products from concept to market. • Apply signal processing and deep learning knowledge to create innovative solutions. Requirements:• Experience: o Proven track record in computer vision, preferably with a focus on facial analytics. o Expertise in deep learning and video transformers is highly desired. o Experience in a startup environment and having successfully brought products to market. o Strong understanding of signal processing, computer vision, and deep learning theory.o Demonstrable coding proficiency; expertise is not mandatory, but high-level competency is required. • Skills: o Strong knowledge in Python, NumPy, PyTorch, and Docker. o Familiarity with Kubernetes and Snowflake is a plus. • Attributes: o Highly motivated, ambitious, and able to work independently. o Ability to articulate the application of transformers in projects and the tangible outcomes achieved. o Strong theoretical background in machine learning and computer vision; academic publications are a plus. o Familiarity with Photoplethysmography (PPG) is a bonus.For this position we are only considering candidates already based in Europe and eligable to work in Germany.Must be available to be onsite in Munich 3 days per week.

Join a top research centre in Amsterdam!Information Retrieval Research EngineerExtremely Competitive Salaries based on experience.What You'll Do:As a Research Engineer, your primary focus will be on advancing the fields of Information Retrieval and Generative Models.Responsibilities:Design, implement, and optimize information retrieval models and establish a strong retrieval-augmented generation (RAG) system.You will be responsible for the research, development, and optimization of cutting-edge models that significantly improve the accuracy and efficiency of information retrieval systems.Additionally, you will play a key role in enhancing the user experience of interacting with generative models.This work will involve exploring and addressing the challenges of multimodality, where the input data may include various formats beyond text, such as images, audio, and video.Qualifications:Master’s or Ph.D. in Computer Science, ideally a related field with a focus on NLP, ML, or IR.Strong programming skills in Python and familiarity with machine learning frameworks such as PyTorch.Solid understanding of deep learning architectures, including transformers, BERT, GPT, etc.Proven track record of research excellence, demonstrated through publications in relevant conferences and journals.

Senior ML Ops Engineer | Bielefeld/Darmstadt | bis zu €90kNehmen Sie an der KI-Revolution im Rechnungswesen teil!Wir suchen einen brillanten Senior ML Ops Engineer, um die Lücke zwischen unseren Teams in Bielefeld und Darmstadt zu schließen. Sie bauen eine robuste MLOps-Infrastruktur auf, automatisieren ML-Lebenszyklen und stellen sicher, dass unsere KI-Modelle die Zukunft der Buchhaltung vorantreiben.Verantwortlichkeiten:Entwicklung und Bereitstellung skalierbarer KI-Modelle.Automatisieren von ML-Workflows von den Daten bis zur Produktion.Zusammenarbeit mit Data Science, Architektur und Infrastruktur.Aufbau sicherer CI/CD-Pipelines.Überwachung der Modellleistung und Optimierung der Effizienz.Fertigkeiten:Fachkenntnisse in CI/CD, Kubernetes, Helm und Cloud (Azure/AWS/GCP).Ausgeprägte Kenntnisse in Python und Softwarearchitektur.Beherrschung der Modellversionierung, -überwachung und -optimierung.Erfahrung mit Kafka, Airflow, MongoDB, & SQL-Alchemy ein Plus.Ausgezeichnete englische & deutsche Kommunikation.

Senior ML Ops Engineer | Bielefeld/Darmstadt | upto €90kJoin the AI Revolution in Accounting!We're seeking a brilliant Senior ML Ops Engineer to bridge the gap between our Bielefeld and Darmstadt teams. You'll build a robust MLOps infrastructure, automate ML lifecycles, and ensure our AI models power the future of accounting.Responsibilities:Develop & deploy scalable AI models.Automate ML workflows from data to production.Collaborate with Data Science, Architecture, & Infrastructure.Build secure CI/CD pipelines.Monitor model performance & optimize for efficiency.Skills:Expertise in CI/CD, Kubernetes, Helm, & Cloud (Azure/AWS/GCP).Strong Python & software architecture skills.Proficiency in model versioning, monitoring, & optimization.Experience with Kafka, Airflow, MongoDB, & SQL-Alchemy a plus.Excellent English & German communication.

Job Opportunity: Senior Machine Learning EngineerAre you passionate about using AI to solve real-world challenges? Join a pioneering team dedicated to revolutionizing sustainability through cutting-edge technology. In this role, you won’t just work on projects—you’ll drive innovation that makes a global impact.Location: Flexible hybrid work with a modern office in Bremen, Germany.Your Mission: As a Senior Machine Learning Engineer, you’ll play a key role in developing and deploying advanced AI solutions. Your expertise will set new standards in AI-driven technologies, particularly in computer vision and time series analysis. This is an opportunity to lead complex projects from concept to production, working with a diverse team to build scalable, impactful solutions.What We Offer:A significant role in shaping the future of AI products in an innovative and sustainable industry.Flexible working hours and the option for home office arrangements.A dynamic, agile environment with flat hierarchies and creative freedom.Collaboration with a multidisciplinary team of experts in machine learning, computer vision, data science, and product development.Key Responsibilities:Innovative AI Development: Design and implement advanced ML models for tasks such as object recognition, image segmentation, forecasting, and anomaly detection.Integration and Optimization: Develop scalable, efficient algorithms and integrate them into real-world applications.Research & Innovation: Stay at the forefront of AI advancements, leveraging state-of-the-art technologies like deep learning and large language models.Technical Leadership: Mentor junior engineers, lead code reviews, and promote best practices for AI development.Deployment & Optimization: Ensure reliable deployment of models into production environments, with ongoing monitoring and enhancement.Your Qualifications:At least 4 years of experience in AI solution development, particularly in computer vision and time series analysis.Proven success in implementing complex models in practical, production-ready applications, ideally cloud-based.Proficiency in Python, C++, and frameworks like TensorFlow or PyTorch, as well as tools such as OpenCV and scikit-learn.Strong mathematical foundation in areas like linear algebra and optimization, with experience in analyzing large datasets.Excellent communication and leadership skills for cross-functional collaboration.Proficiency in German and English is highly desirable.Additional Details:Position type: Full-time, permanent.Working hours: Monday to Friday.Hybrid work model, with some on-site presence in Bremen required.