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Junior Machine Learning Engineer(m/w/x)
Deploying machine learning solutions for AI strategy implementation at enterprise clients. EPFL or ETH student/graduate status required. Yearly education and sport budgets, flexible culture.
Requirements
- EPFL or ETH student/graduate, internship to complete if still studying
- Data enthusiasm, willingness to dive in and ask questions
- Resourcefulness, critical thinking, collaboration, teamwork
- Impeccable attention to detail and drive to excel
- Fast learner with problem-solving attitude, imaginative solutions
- Organizational skills, adaptability in scale-up environment
- Strong communication skills, ability to present to non-technical people
- Willingness to go the extra mile, no compromise on quality
- Proactive attitude, taking initiative and responsibilities
- Growth mindset, continuous improvement and rationalization
- Proficiency in Python programming
- Experience with ML/DL libraries and frameworks (Scikit-learn, TensorFlow, Keras, Pytorch)
- Experience with visualization frameworks (Matplotlib, Seaborn, Bokeh, Power BI, Tableau, D3.js)
- Experience applying deep learning (recurrent neural networks, deep convolution networks)
- Strong knowledge of clustering, regression, classification algorithms
- Understanding of Unix/Linux operating systems
- Familiarity with web development is a plus
- Familiarity with REST API and microservices
Tasks
- Work on applied research projects
- Use state-of-the-art machine learning techniques
- Help deploy machine learning solutions
- Transform customer businesses
- Contribute to a dynamic team environment
- Learn and share about latest technologies
- Apply machine learning in real-world scenarios
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Scikit-learn
- TensorFlow
- Keras
- Pytorch
- Matplotlib
- Seaborn
- Bokeh
- Power BI
- Tableau
- D3.js
- Recurrent neural networks
- Deep convolution networks
- Clustering algorithms
- Regression
- Classification
- Unix/Linux
- Web development
- REST API
- Microservices
Benefits
Additional Allowances
- Yearly education budget
Healthcare & Fitness
- Yearly sport budget
Flexible Working
- Flexible working culture
Social Impact
- Impact on thousands of people
Startup Environment
- Impact on company growth
Informal Culture
- International team
- Knowledgeable team
- Passionate team
- Collaborative mindset
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Junior Machine Learning Engineer(m/w/x)
Deploying machine learning solutions for AI strategy implementation at enterprise clients. EPFL or ETH student/graduate status required. Yearly education and sport budgets, flexible culture.
Requirements
- EPFL or ETH student/graduate, internship to complete if still studying
- Data enthusiasm, willingness to dive in and ask questions
- Resourcefulness, critical thinking, collaboration, teamwork
- Impeccable attention to detail and drive to excel
- Fast learner with problem-solving attitude, imaginative solutions
- Organizational skills, adaptability in scale-up environment
- Strong communication skills, ability to present to non-technical people
- Willingness to go the extra mile, no compromise on quality
- Proactive attitude, taking initiative and responsibilities
- Growth mindset, continuous improvement and rationalization
- Proficiency in Python programming
- Experience with ML/DL libraries and frameworks (Scikit-learn, TensorFlow, Keras, Pytorch)
- Experience with visualization frameworks (Matplotlib, Seaborn, Bokeh, Power BI, Tableau, D3.js)
- Experience applying deep learning (recurrent neural networks, deep convolution networks)
- Strong knowledge of clustering, regression, classification algorithms
- Understanding of Unix/Linux operating systems
- Familiarity with web development is a plus
- Familiarity with REST API and microservices
Tasks
- Work on applied research projects
- Use state-of-the-art machine learning techniques
- Help deploy machine learning solutions
- Transform customer businesses
- Contribute to a dynamic team environment
- Learn and share about latest technologies
- Apply machine learning in real-world scenarios
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- Scikit-learn
- TensorFlow
- Keras
- Pytorch
- Matplotlib
- Seaborn
- Bokeh
- Power BI
- Tableau
- D3.js
- Recurrent neural networks
- Deep convolution networks
- Clustering algorithms
- Regression
- Classification
- Unix/Linux
- Web development
- REST API
- Microservices
Benefits
Additional Allowances
- Yearly education budget
Healthcare & Fitness
- Yearly sport budget
Flexible Working
- Flexible working culture
Social Impact
- Impact on thousands of people
Startup Environment
- Impact on company growth
Informal Culture
- International team
- Knowledgeable team
- Passionate team
- Collaborative mindset
About the Company
Visium SA
Industry
Consulting
Description
Visium enables enterprise executives in defining AI & Data strategy, executing large scale transformations and implementing AI across operations to become future-proof.
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