Salary/Rate: Negotiable
AI Machine Learning Engineer/AIML Engineer (German speaking)
At least having 4-6 years of experience in AIML.
Responsibilities:
1. Understanding of machine learning algorithms, especially deep learning models like Transformers, including various types of neural networks, optimization techniques, and loss functions.
2. Knowledge of NLP techniques, text representation methods, and language models.
3. Proficiency in programming languages commonly used in machine learning such as Python, R, Java, or Node.
4. Familiarity with machine learning libraries like TensorFlow, PyTorch, Keras, or Scikit-learn.
5. Understanding of parallel computing, GPU acceleration, and distributed systems for training large models.
6. Skills in data pre-processing, transformation, and analysis, often involving libraries like Pandas, NumPy, or specialized tools for handling large datasets.
7. Ability to set up and maintain machine learning pipelines, from data collection to model training to inference, possibly using cloud platforms like AWS, GCP, or Azure.
8. Understanding of both algorithmic and hardware optimization techniques to make training and inference more efficient.
9. Proficiency with version control systems like Git to manage codebase changes.
10. Experience in REST API development, NoSQL database design, and RDBMS design and optimizations.
11. Excellent problem-solving skills and a collaborative mindset.
12. Strong communication skills to work effectively with diverse teams.
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