Machine Learning Engineer - Remote Position at Eco Packaging Products
About the Role
We are seeking a talented Machine Learning Engineer to join our team at Eco Packaging Products. This remote Machine Learning Engineer position offers the opportunity to work with cutting-edge technologies and contribute to innovative projects in the eco-friendly packaging sector. You will be responsible for building and deploying machine learning models into production, working with large datasets for data processing and feature engineering.
What You'll Do
- Design, develop, and deploy machine learning models to enhance product offerings.
- Collaborate with cross-functional teams including data scientists, engineers, and product managers to ensure successful implementation of ML solutions.
- Improve model performance and reliability through rigorous testing and optimization.
- Utilize tools such as TensorFlow, PyTorch, and Scikit-learn for model development.
- Manage and process large datasets using Docker, Kubernetes, and cloud platforms (AWS, Azure, GCP).
Requirements
- Minimum of 2+ years of experience in Machine Learning or AI.
- Strong programming skills in Python, with experience in ML libraries such as TensorFlow, PyTorch, and Scikit-learn.
- Familiarity with containerization and orchestration tools like Docker and Kubernetes.
- Solid understanding of statistics, algorithms, and data processing techniques.
- Fluent in English; proficiency in German is a plus.
Nice to Have
- Experience in the eco-friendly packaging industry.
- Knowledge of additional programming languages.
- Previous work with international teams.
What We Offer
- Competitive salary ranging from €75,000 to €110,000+ annually.
- Flexible work arrangements including remote and hybrid options.
- 25-30 days of annual leave to promote work-life balance.
- Learning budget for professional development and AI-focused projects.
- Visa sponsorship available for international candidates.
This Machine Learning Engineer role offers a unique opportunity to work remotely in the eco-friendly packaging sector, with competitive salary and benefits.
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