JD for AI/ML SMEResponsibilities:
- To research, modify, and apply data science and data analytics prototypes.
- To create and construct methods and plans for machine learning.
- Employing test findings to do statistical analysis and improve models.
- ML systems and models should be trained and retrained as necessary.
- To improve and broaden current ML frameworks and libraries.
- To create machine learning applications in accordance with customer needs.
- To investigate, test, and put into practice appropriate ML tools and algorithms.
- To evaluate the application cases and problem-solving potential of ML algorithms and rank them according to success likelihood.
- To better comprehend data through exploration and visualization, as well as to spot discrepancies in data distribution that might affect a model’s effectiveness when used in practical situations.
Must Have Skills:
- Expertise in image processing/computer vision algorithms.
- Expertise in deep learning and machine learning techniques.
- Good understanding on: Advanced math and statistics knowledge, particularly in the areas of calculus, linear algebra, and Bayesian statistics.
- Experience / understanding of Optimizations performed on ML/DNN models
- Sound knowledge of Machine learning and Deep neural network frameworks like Tensorflow, pytorch, caffe, caffe2
- Experience in Neural processing engines SNPE,TIDL etc will be an added advantage.
- Good programming skills in Python, C/C++.
- Self-motivated to learn and explore new areas.
Years of Experience – 4 to 10 Years
Notice period:
Immediate or 30 days only
Required Skills
C++,PYTHON, Design Patterns, System Design, Data Structure, Algorithms,Embedded C,Artificial intelligence ,deep learning and machine learning ,Deep neural network frameworks
Supported Skills
Tensorflow, pytorch, caffe, caffe2