AI Engineer

AI System Development
Design, develop, and implement AI models and ML algorithms to solve real-world problems.
Machine Learning
Develop and train machine learning models using various datasets to achieve high-performance results.
Data Processing
Collect, preprocess, and analyze large datasets to feed into AI models.
Deployment
Deploy AI models into production environments, ensuring they are scalable, efficient, and robust.
Performance Monitoring
Continuously monitor and evaluate the performance of AI models, making necessary adjustments to improve accuracy and efficiency.
Research
Stay current with the latest advancements in AI and machine learning technologies and apply this knowledge to enhance our AI capabilities.
Documentation
Create comprehensive documentation for AI models and systems, including design, development, and deployment processes. 

Experience

•Proven experience (3+ years) in AI engineering, machine learning, or a related field including various techniques (RAG, fine tuning, …)
•Experience with popular machine learning frameworks such as TensorFlow, PyTorch, or similar.
Technical Skills

•Proficiency in programming languages such as Python, R, or Java.
•Strong understanding of machine learning algorithms and techniques.
•Experience with data processing and analysis tools such as Pandas, NumPy, or similar.
•Familiarity with cloud platforms like AWS, Google Cloud, or Azure.
Soft Skills

•Excellent problem-solving skills and attention to detail.
•Strong communication skills, with the ability to explain complex concepts to non-technical stakeholders.
•Ability to work both independently and collaboratively in a team environment.