Master Thesis focusing on developing machine learning models for lithium - ion cell sorting at Fraunhofer LBF. Involvement in innovative projects addressing circular economy in battery recycling.
About the role
- Machine Learning Engineer responsible for implementing machine learning models for Neostella's legal tech solutions. Collaborating with developers to integrate algorithms and optimize workflows.
Responsibilities
- Implement, train, and maintain machine learning models that drive our products and services.
- Work with software developers to ensure seamless integration of machine learning models.
- Optimize machine learning algorithms for performance and scalability.
- Conduct research and stay up-to-date with the latest developments in machine learning techniques, tools, and frameworks.
- Develop tools and processes to automate machine learning workflows.
- Collaborate with cross-functional teams to improve product features.
- Perform analytics, visualization and reporting related to machine learning projects.
Requirements
- At least 3 years of experience in machine learning or related field.
- Strong programming skills in Python or similar languages.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, Keras, or similar.
- Experience with AWS cloud infrastructure, specifically Sagemaker
- Excellent analysis, design, and problem-solving skills.
- Strong verbal and written communication skills.
Benefits
- *All resumes and application answers must be in English
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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