AI/ML Engineer, Berlin
As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications.
As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications.
As an AI Product Manager at Air Apps, you will be at the forefront of shaping AI-powered applications that enhance user experiences.
Taktile empowers financial institutions to transform into truly AI-native organizations.
Lead R&D efforts to prototype a new robotic manipulator, conducting rigorous testing to validate design specifications and performance criteria.
Overview We are looking for experienced Machine Learning and AI Experts to help train and evaluate advanced AI models.
Wir schreiben dir, sobald eine neue geprüfte Stelle in Berlin dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
on this role - Strong professional experience in Python software development - Proven experience building AI-driven or agentic systems, pref
Train, test, and ship models that power Peec AI’s recommendations - helping customers boost their visibility in AI search - Develop algorith
Integrate: Embed our foundation models into customer platforms, cloud environments, and ML pipelines.
This role is foundational data science: building the foundations of tabular foundation models so a single model can solve data-science problems across the board.
Data Scientist DEPT®/AI has a single mission: to make the best work in the industry using AI to enhance everything we do.
Build the Market Leader in Satellite Analytics with us at LiveEO Mission of this position (overall summary of the purpose, some comments abo
Taktile empowers financial institutions to transform into truly AI-native organizations.
sensmore is a Berlin/Potsdam-based robotics startup delivering production-proven automation for industries where the world’s raw materials a
Work closely with commercial stakeholders to translate business requirements into well-scoped projects and respond to operational inquiries.
We are looking for an experienced (Senior) AI/ML Engineer to join our Central Data Platform team and take ownership of the machine learning
work as part of our Outbound Data Science team to further optimize our innovative product based on machine learning and artificial intellige
Help us use technology to make a big green dent in the universe!
& THE TEAM The Partner Tech Applied Science team acts as the engine behind Zalando’s growth, partnering with Zalando Partners as well as int
Build and Ship AI Agents - Design and build agents that automate complex finance workflows.
Steuert Lieferprogramme für Trainingsdaten (Text, Bild, Video, Audio) für KI-Labore und baut QC-Prozesse mit Human-in-the-Loop auf.
We re a Data Team that operates like a scaleup within an established company: real ownership, short decision paths, and room to shape things.
& THE TEAM The Marketing Science team acts as the engine behind Zalando’s growth, partnering with business units across the full marketing funnel.
Tide is hiring a VP of Engineering to lead the engineering organisation behind Ongoing Monitoring.
As a Senior Applied AI Engineer on our AI Platform team, you take AI at bunch from working to relied upon.
SoundCloud empowers artists and fans to connect and share through music.
Warum dieser Job gelistet ist
Eindeutige KI-Rollenbezeichnung im Stellentitel. Prüfverfahren ansehen
As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications. You will work closely with product managers, engineers, and designers to create intelligent, data-driven features that enhance user experiences. Your expertise in artificial intelligence and deep learning will help us innovate and stay ahead in the mobile app industry. - This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment.
We are open to support with relocation efforts. Responsibilities - Develop, train, and optimize machine learning models for various mobile app features. - Research and implement state-of-the-art AI techniques to improve user engagement and app performance. - Collaborate with cross-functional teams to integrate AI-driven solutions into our applications. - Design and maintain scalable ML pipelines, ensuring efficient model deployment and monitoring. - Analyze large datasets to derive insights and drive data-driven decision-making. - Stay updated with the latest AI trends and best practices, incorporating them into our development processes. - Optimize AI models for mobile environments to ensure high performance and low latency.
Around 4+ years of experience in AI/ML development, preferably in mobile applications. - Proficiency in Python, TensorFlow, PyTorch, or other ML frameworks. - Experience with deep learning, NLP, computer vision, and statistical modeling. - Familiarity with cloud-based ML services (AWS, Google Cloud, or Azure). - Strong understanding of data structures, algorithms, and software engineering best practices. - Experience in deploying and maintaining ML models in production. - Ability to work collaboratively in a remote team environment. - Strong problem-solving skills and a passion for innovation. What benefits do we offer? - Apple hardware ecosystem for work. - Annual Bonus - Top-tier Health and Life Insurance for peace of mind. - Transportation Budget to support your commute needs. - Coverflex benefits package for meal allowances, well-being, and more. - Childcare support. - Air Conference - an opportunity to meet the team, collaborate, and grow together. - Pension Fund to support your long-term financial planning. - Urban Sports Club membership to keep you active. - Meals 100% free at the hub. Diversity & Inclusion At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace.
We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger. Application Disclaimer At Air Apps, we value transparency and integrity in our hiring process.
Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification. Important Notice Air Apps does not partner with nor is represented by any recruiting agencies, staffing firms, or third-party recruiters in connection with our hiring efforts.
All legitimate communication regarding Air Apps opportunities will come exclusively from an official @airapps.com email address. Additionally, all open positions are published only through our official careers platform, Ashby. If you are contacted by anyone claiming to represent Air Apps from a different email domain, through a recruiting agency, or via a job posting source other than Ashby, please exercise caution.
We do not accept unsolicited candidate submissions from agencies, and any such submissions will not be considered.
About Air Apps At Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide.
Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management—and change lives along the way.
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Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur Originalanzeige203 geprüfte Stellen bei 134 Arbeitgebern, 24 davon ortsunabhängig. 81 in der KI-Entwicklung, 63 in Integration & Automatisierung.