Highlights
Global impact, sustainable technologies, international collaboration, high-quality solutions.
Description
Job Summary
pWe are seeking a Machine Learning Engineer to join our AI team at Linde. The role involves creating and implementing sustainable AI models, algorithms, and software solutions for global operations. You will work closely with international teams on diverse projects, supporting the development of new AI products.
Responsibilities
- Create and implement advanced machine learning models using deep learning techniques like NLP and computer vision.
- Analyze and interpret large datasets to drive business decisions.
- Develop and deploy machine learning models across various fields including tabular, time series, and computer vision data.
- Contribute to the MLOps infrastructure setup for existing and new AI products.
- Collaborate with cross-functional teams to set up data pipelines and curate data.
Required Skills
- Deep learning frameworks (PyTorch, Tensorflow)
- Backend development with Python (FastAPI, Flask)
- Data pipeline setup and management
- Fluent in English
Required Skills Explained
{'html': '
- Knowledge of neural networks and experience with deep learning frameworks like PyTorch and Tensorflow.
- Experience in backend and API development using Python (FastAPI, Flask) or similar technologies.
- Familiarity with Object Oriented Programming, design patterns, algorithms, and data structures.
- Basic understanding of version control systems such as Git.
- Prior experience with cloud platforms like Azure is a plus.
- Adequate knowledge in Docker and Kubernetes would be beneficial.
'}
Who is this for
pThis role is ideal for candidates who are passionate about AI and machine learning. You should have a strong background in data science, computational statistics, or computer science, with practical experience in deep learning frameworks and backend development.
Why This Job is a Good Opportunity
{'html': "ulliOpportunity to work on cutting-edge AI technologies that directly impact global industrial gases operations.liPotential for international collaboration with diverse teams from various countries.liThe chance to innovate and contribute to sustainable development within the company's mission.liLinde's supportive environment encourages personal growth and professional development.liCompetitive salary and benefits package as a leading global industrial gases company."}
Interview Preparation Tips
{'html': "
- Review machine learning concepts, neural networks, and deep learning frameworks such as PyTorch and Tensorflow.
- Practice coding exercises related to backend development using Python (FastAPI, Flask).
- Study examples of Object Oriented Programming and design patterns.
- Browse Linde's mission and values to understand how your work aligns with the company culture.
- Prepare questions about the AI projects you would be involved in at Praxair India Private Limited.
"}
Career Growth in This Role
{'html': "pThe role offers significant opportunities for career advancement within Linde's global AI team. As a Machine Learning Engineer, you can progress to more complex projects and lead teams of data scientists and engineers. You may also have the chance to specialize further in specific areas like computer vision or natural language processing (NLP). With proven success, there are potential roles in leadership or management within Linde's operations.pInternally, Linde encourages knowledge sharing through workshops and seminars, which can enhance your skills and broaden your expertise. Externally, participating in conferences and publishing research papers related to AI could also open doors for recognition and further career growth."}
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Skills
Frequently Asked Questions
What kind of experience is required?A Bachelor’s or Master’s degree in data science, computational statistics/mathematics, computer science, or a related field. Practical experience with deep learning frameworks like PyTorch and Tensorflow.
Is this role suitable for beginners?No, the role requires practical experience in backend development with Python and knowledge of deep learning frameworks.
What cloud platforms are preferred?Basic experience with cloud platforms like Azure is a plus.
