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Company
About
The hiring company´s mission is to enable enterprise executives in defining their AI & Data strategy, executing large scale transformations and implementing AI across operations, ensuring their organization becomes future-proof. With expertise in strategy, architecture, cloud engineering, analytics, artificial intelligence and machine learning, they empower their clients to unleash and scale the power of their data. They're on a mission to pioneer a bright future and build future-proof and ethical organizations.
Perks & Benefits
Who you are
About
The hiring company´s mission is to enable enterprise executives in defining their AI & Data strategy, executing large scale transformations and implementing AI across operations, ensuring their organization becomes future-proof. With expertise in strategy, architecture, cloud engineering, analytics, artificial intelligence and machine learning, they empower their clients to unleash and scale the power of their data. They're on a mission to pioneer a bright future and build future-proof and ethical organizations.
Perks & Benefits
- A competitive compensation package.
- A yearly education budget to steep your learning curve.
- A yearly sport budget because a fit body leads to a fit mind.
- A flexible working culture because your work-life balance matters to us.
- A position that enables you to have an impact on 1'000s of people, and the whole company's growth.
- An international, knowledgeable, and passionate team with a strong collaborative mindset.
Who you are
- 4+ years of professional experience as a Machine Learning or Data Scientist or in a relevant role.
- Experience with ML/DL frameworks and tools in Python (e.g., Scikit-Learn, TensorFlow, Keras, PyTorch, huggingface/transformers).
- Proficiency in Software Development best practices (e.g., Object-Oriented Programming, Design Patterns, Agile Methodology).
- Experience in applying deep learning approaches, such as recurrent and convolutional neural networks and transformer models.
- Experience with MLOps best practices and tools (e.g., dvc, MLFlow, tfX, Kubeflow).
- Experience developing and deploying ML solutions using Cloud services (e.g., AWS Sagemaker, GCP Vertex.AI, Azure ML).
- Familiarity with REST API and microservices.
- s a Senior Machine Learning Engineer, you will assume a technical leadership role in designing, implementing and deploying innovative solutions with tangible business impact. Join our growing team and contribute to our expansion in Switzerland and internationally.
- Proactively take ownership of projects, making decisions and ensuring successful outcomes.
- Embrace challenges as opportunities to learn, actively seeking and sharing feedback to expand your skills.
- Exhibit genuine empathy, understanding diverse perspectives and fostering a collaborative and team-oriented atmosphere.
- Have strong communication skills and the ability to present insights to non-technical and technical stakeholders in an accessible way.
- Machine Learning
- Deep Learning
- Python
- Lausanne, Vaud, Switzerland
- Permanent contract
- 80-100% occupation rate
- Machine Learning
- English
- German
Key Skills
Ranked by relevance
machine learning
cloud
ai
artificial intelligence
neural networks
design patterns
deep learning
tensorflow
pytorch
python
mlflow
keras
mlops
aws
gcp
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- Posted
- Feb 18, 2025
- Type
- Contract
- Level
- Entry
- Location
- Lausanne
- Company
- TieTalent
Industries
Technology
Information
Internet
Categories
Engineering
Information Technology
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