AI ML Engineer (German speaking)
Posted 5 hours 1 minute ago by Empiric Solutions
Contract
Not Specified
Multilingual Jobs
Not Specified, Germany
Job Description
AI ML Engineer - Generative AI, (AWS/AZURE or GCP), MLOps, SQL, (Python or Java)
Business level German & English speaking (C1/Fluent is required)
Location: Remote from anywhere in Europe
An experienced AI ML Engineer is required for a long-term project with a fast-growing company.
- At least having 4-6 years of experience in AIML
- Machine Learning Algorithms: Understanding of machine learning algorithms, especially deep learning models like Transformers, is crucial. This can include various types of neural networks, optimization techniques, and loss functions.
- Natural Language Processing (NLP): Knowledge of NLP techniques, text representation methods, and language models.
- Programming Languages: Proficiency in languages commonly used in machine learning such as Python/R/Java/Node.
- Library/Framework Proficiency: Familiarity with machine learning libraries like TensorFlow, PyTorch, Keras or or Scikit-learn.
- High-Performance Computing: Understanding of parallel computing, GPU acceleration, and distributed systems for training large models.
- Data Manipulation and Analysis: Skills in data preprocessing, transformation, and analysis are crucial, often involving libraries like Pandas, NumPy, or specialized tools for handling large datasets.
- DevOps and Infrastructure: Knowing how 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.
- Optimization: Understanding of both algorithmic and hardware optimization techniques to make training and inference more efficient.
- Version Control: Proficiency with version control systems like Git to manage codebase changes.
- Experience in REST API development, NoSQL database design, and RDBMS design and optimizations
- Excellent problem-solving skills and a collaborative mindset.
- Strong communication skills to work effectively with diverse teams