As an AI/ML Engineer, you will play a crucial role in designing, developing, and optimizing machine learning models to power our mobile applications.
is hands-on and code-heavy — you will work inside the same monorepo as the research team, mostly in Python, and should be as comfortable ref
Lead R&D efforts to prototype a new robotic manipulator, conducting rigorous testing to validate design specifications and performance criteria.
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Wir schreiben dir, sobald eine neue geprüfte Stelle dazukommt. Höchstens eine Nachricht am Tag, und nur, wenn es tatsächlich etwas Neues gibt.
Abmelden mit einem Klick, jederzeit. Keine Weitergabe an Dritte.
Own ML and GenAI systems end-to-end in production, including problem framing, system design, deployment, monitoring, and continuous improvem
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Data Scientist DEPT®/AI has a single mission: to make the best work in the industry using AI to enhance everything we do.
Begleitet Kunden von der KI-Strategie bis zur Produktivsetzung, entwirft Architekturen, baut Prototypen und verantwortet Pilotprojekte mit Mistral-Modellen.
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As an AI Deployment Strategist with Science Focus, you will drive the adoption and deployment of Mistral s AI solutions for science-heavy pr
Entwirft und deployt KI-gestützte Cybersecurity-Lösungen bei Kunden, von Workshops mit CISOs bis zur Produktion, zusammen mit dem Applied-AI-Team.
We are seeking a highly skilled and experienced Scientist II Machine Learning Engineer to design, develop, and deploy cutting-edge AI solutions.
Entwickelt Stromrichter der Leistungselektronik und nutzt Deep-Learning-Modelle zur Optimierung von Magnetik, Topologien und Regelung.
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.
Interesse an dieser Position?
Die vollständige Anzeige und das Bewerbungsformular liegen beim Arbeitgeber.
Zur OriginalanzeigeModelle bauen, trainieren und verbessern: von klassischem Machine Learning über Computer Vision bis zum Feinschliff großer Sprachmodelle.