Job Description
The ideal candidate should be Machine learning engineer with a considerable amount of experience in ML. The ideal candidate is expected to have sufficient experience on python Open CV, Wireshark, Weka and Dockers.
The candidate should also have adequate knowledge regarding statistics & mathematical equation structure. The ideal candidate will be expected to work independently.
Responsibilities
- 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
- Train and retrain systems when necessary
- Keep abreast of developments in the field
- Proof-of-Concept code
Skills
- Minimum experience of 3 years in Python development.
- Proven experience as a Machine Learning Engineer or similar role
- Understanding of data structures, data modeling and software architecture
- Strong programming concept of Python, ability to write robust code
- Familiarity with machine learning frameworks (like Keras or PyTorch or Tensorflow) and libraries (like scikit-learn)
- Excellent communication skills
- Ability to work in a team
- Outstanding analytical and problem-solving skills
- BS in Computer Science, Computer Engineering, Data Science, Artificial Intelligence or similar field: MS degree is a plus