offres d'emploi IT & DĂ©veloppeurs en Suisse
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ML Ops engineer
95’000 - 120’000 CHF
Chemin de la Crétaux 33, Gland
95’000 - 120’000 CHF
Exigences
Obligatoire:
**Educational Background:**
Master’s degree in Computer Science, Engineering, or a related quantitative field.
**Experience:**
- Proven experience of at least 2 years as an ML Ops Engineer or in a similar role, ideally in dynamic and growing teams.
- Experience working closely with data scientists to transition models and genAI applications from development to production.
**Technical Skills:**
- Strong programming skills in Python, with knowledge of Java being a plus.
- Proficiency in ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Experience with generative AI models, including leveraging proprietary APIs and deploying on-site RAG systems.
- Strong experience with cloud platforms.
- Proficiency in CI/CD tools (GitLab CI or similar).
- Expertise in containerization and orchestration (Docker, Kubernetes).
- Experience with data pipeline orchestration tools (e.g., Airflow) is a plus.
- Familiarity with data streaming and monitoring tools like Kafka and Elasticsearch is a plus.
**Soft Skills:**
- High degree of autonomy and proactive behavior.
- Versatility and adaptability to take on new challenges in a fast-growing environment.
- Excellent communication and collaboration skills, with the ability to work effectively in cross-functional teams.
- Problem-solving mindset with a proactive and self-starter attitude.
Technologies
AI
Airflow
CI/CD
GitLab
PyTorch
Responsabilités
We are looking for a versatile ML Ops Engineer who is ready to take on the exciting challenge of establishing ML Ops practices within our organization. As the first dedicated ML Ops Engineer in our team, you will play a crucial role in taking over models from data scientists and deploying them to robust and scalable production environments. You will ensure that our models not only perform well but are also maintained efficiently, enabling continuous improvement and business impact.
**Key Responsibilities**
- **End-to-End Model Deployment:** Collaborate closely with data scientists and ML engineers to take over models and deploy them into production environments.
- **Future Infrastructure Design:** Bridge with the IT department to define requirements for the present and future infrastructure.
- **Pipeline Automation:** Develop and maintain CI/CD pipelines tailored for ML workflows, automating model versioning, testing, and deployment.
- **Monitoring and Maintenance:** Implement monitoring systems to track model performance, data drift, and system health, ensuring proactive maintenance and scalability.
- **Standardization and Best Practices:** Establish ML Ops best practices, setting the foundation for future growth and scalability.
MĂ©thodologie
La description
Building the bank of tomorrow takes more than skills.
It means combining our differences to imagine, discuss, code, develop, test, learn… and celebrate every step together. Share our vibes? Join Swissquote to unleash your potential.
We are the Swiss Leader in Online Banking and we provide trading, investing, and banking services to over 500,000 clients through our performant and secured digital platforms.
Our 1,000 employees work in a flexible way, without dress code and in multicultural teams. By having a huge impact on the industry, they are growing their skills portfolio and boosting their career in a fast-paced environment.
We are all in at Swissquote. As an equal opportunity employer, we welcome candidates from all backgrounds, experiences, and perspectives to join our team and contribute to our shared success.
Are you all in? Don’t be shy, apply!
Avantages
5 semaines de vacancesPaiement de bonusParcours professionnel et bilan annuelCafé, théAteliers et partage des connaissancesConférencesBureau coolAide à la réinstallationCulture de démarragePossibilité sabbatiqueEvénements d'équipeSnacks et boissonsBureau à domicile / à distance 2 jours par semaineTravail HybrideQuelque chose ne va pas ou est incorrect avec ce travail? Dites-le nous sur le chat 💬 à droite ➡️
Vous pouvez trouver les statistiques salariales des ML, AI DĂ©veloppeur salaires en Suisse.
Combien y a-t-il d'emplois ML, AI DĂ©veloppeur dans en Suisse?
Actuellement, il y a 242 Machine-Learning travaux. Consultez Ă©galement: TensorFlow jobs, Python jobs, Computer-Vision jobs - tous avec des Ă©chelles de salaire.
Est De la Suisse est un bon endroit pour les ML, AI DĂ©veloppeurs?
La Suisse est l'un des meilleurs pays pour travailler comme ML, AI Ingénieur. Il a une communauté de startups dynamique, des hubs technologiques en pleine croissance et, le plus important : de nombreux emplois intéressants pour les personnes qui travaillent dans la technologie.
Quelles entreprises embauchent pour des ML, AI DĂ©veloppeur offres d'emploi en Suisse?
A. Baggenstos & Co. AG, Rockstar Recruiting AG, ZĂĽrcher Kantonalbank, Swissquote, Futurae Technologies AG, Ypsomed AG, Happy Nurse AG entre autres, recrutent actuellement pour des postes ML, AI en Suisse.
L'entreprise avec le plus d'ouvertures est Rockstar Recruiting AG car ils embauchent pour 22 différents ML, AI Développeur offres d'emploi en Suisse. Ils sont probablement assez déterminés à trouver de bons ML, AI Développeurs.
L'entreprise avec le plus d'ouvertures est Rockstar Recruiting AG car ils embauchent pour 22 différents ML, AI Développeur offres d'emploi en Suisse. Ils sont probablement assez déterminés à trouver de bons ML, AI Développeurs.