AI/ML Computer vision engineer
3 days ago
About Us:
Zwilling Labs is a startup in the AI and Industry 4.0 space, providing cutting-edge digital twin platform solution that integrates artificial intelligence with industrial systems. Our mission is to harness the power of AI and machine learning to drive innovation and efficiency in manufacturing.
Job Description:
We are seeking a talented and passionate AI/ML Developer to join our dynamic team. The ideal candidate will have a strong background in artificial intelligence, machine learning, and data science, with experience in developing and deploying AI/ML models in real-world applications. As an AI/ML Developer, you will work on innovative projects that leverage the latest technologies to solve complex problems and enhance our product offerings.
Key Responsibilities:
- Design, develop, and deploy AI/ML models to address manufacturing business challenges.
- Perform data preprocessing, feature engineering, and model evaluation.
- Stay updated with the latest advancements in AI/ML technologies and incorporate them into projects.
- Optimize and fine-tune models for performance and scalability.
- Develop and maintain documentation for AI/ML models and processes.
Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, Data Science, or a related field.
- Proven experience in developing AI/ML models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Strong programming skills in Python.
- Experience with data preprocessing, feature engineering, and model evaluation techniques.
- Familiarity with cloud platforms such as Google Cloud for deploying AI/ML solutions.
- Excellent problem-solving skills and ability to work in a fast-paced environment.
- Strong communication skills and the ability to work effectively in a team.
Preferred Skills:
- Experience with conventional machine learning techniques.
- Familiarity with version control systems like Git.
- Understanding of DevOps practices for CI/CD in AI/ML projects.
Benefits:
- Opportunities for professional development and continuous learning.
- Flexible working hours.
- Collaborative and inclusive work environment.
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