обновлено 9 дней назад
Staff Machine Learning Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Machine Learning Engineer (AI): Building and deploying AI-native systems, ML models, LLM applications, and production pipelines with an accent on architecture, deep learning, RAG, and MLOps. Focus on setting technical direction, solving complex deployment challenges, mentoring engineers, and translating client problems into scalable technical roadmaps.
Location: Lausanne, Vaud, Switzerland; Workplace: Hybrid
Company
combines strategy, frontier AI, technical integration expertise, and product development to build and deploy AI-native systems for regulated industries.
What you will do
- Set technical direction and ensure architectural excellence and long-term maintainability.
- Lead and mentor junior and senior engineers while raising technical standards.
- Contribute hands-on code to data processing, modeling, and deployment pipelines.
- Partner with clients to translate business challenges into technical roadmaps and measurable outcomes.
- Drive modern machine learning practices across system design, modeling, and MLOps.
Requirements
- 6–8 years of experience in machine learning, data science, or related fields.
- Strong Python skills and expertise with machine learning and deep learning frameworks such as Scikit-learn, TensorFlow, Keras, and PyTorch.
- Experience with deep learning, clustering, regression, classification, data visualization, and production ML pipelines.
- Experience designing, developing, and deploying LLM applications, including RAG systems, prompt engineering, vector databases, and knowledge retrieval pipelines.
- Familiarity with Unix/Linux, REST APIs, microservices, scalable architectures, AzureML, AWS, GCP, Databricks, Dataiku, and Snowflake.
- Technical and project leadership, mentorship, team coaching, and strong communication skills. Fluent English required.
Nice to have
- French language skills.
- Certifications in data and AI platforms.
Culture & Benefits
- Yearly education budget.
- Yearly sport budget.
- Opportunity to create impact at scale.
- International and collaborative team.
- Open and transparent culture.
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