What you’ll do:

• Study and transform data science prototypes
• Design machine learning systems
• Research and implement appropriate ML algorithms and tools
• Develop machine learning applications according to requirements
• Select appropriate datasets and data representation methods
• Run machine learning tests and experiments
• Perform statistical analysis and fine-tuning using test results y
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Keep abreast of developments in the field
• Collaborate with engineering and product development teams

What you’ll definitely need:

• At least 3 years of experience as data scientist using AI/ML/DL algorithms and techniques.
• Must possess at least a Bachelor’s degree in Electrical/Electronics Engineering and/or Computer Engineering/Science or equivalent. Master degree is preferable.
• Proven experience as a Machine Learning Engineer or similar role
• Understanding of data structures, data modeling and software architecture
• Deep knowledge of math, probability, statistics and algorithms
• Knowledge in Data pipelines. Ability to write robust code in Python, C++
• Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
• Excellent communication skills
• Ability to work in a team
• Outstanding analytical and problem-solving skills. Leveraging and contributing to Open Source projects
• Knowledge of open source tool chains and technologies
• Excellent written and verbal communication skills