Job Opening at Heidelberg Materials Digital Hub
ROLE: Machine Learning Engineer
Responsibilities
- Working on generative AI Use cases are created by creating an efficient, quick design and modular, maintainable code.
- Write maintainable code in accordance with our coding and security principles.
- Execute (LL)MLOps, test-driven, and QA-ensured development
- Use version control and pull requests to collaborate with team members and follow the CI/CD process.
- Learn about relevant technology breakthroughs such as GPT-4, LLMOps, NLP, MLFlow on Azure, and Databricks on a regular basis.
- Write code primarily in Python, Pyspark, and C#.
- Investigate and evaluate various generative AI techniques, as well as create scalable machine learning solutions and architecture.
- Create commercial solutions based on OpenAI by exploiting NLP capabilities.
- Contribute to the advancement of our cloud-based platform
- Create dependable and scalable integrations (for example, via secure API endpoints).
Qualifications
- A bachelor’s or Master’s degree in Computer Science, Mathematics, or a related field is required.
- 2+ years of experience in machine learning or deep learning
- Strong Python programming abilities and knowledge of machine learning frameworks such as TensorFlow, PyTorch, and Keras
- Knowledge of generative AI models such as GANs, VAEs, and RNNs
- Knowledge of cloud computing platforms such as AWS, GCP, or, preferably, Azure
- Databricks experience is preferred.
- Excellent problem-solving abilities and the ability to work both individually and collaboratively
- Excellent analytical and problem-solving abilities
- A strong, proactive team player
How to Apply for this Heidelberg Materials Digital Job
If Interested, kindly send your CV to gharrtechhub@heidelbergcement.com
Closing Date: 22nd November, 2023
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