Artificial Intelligence Engineer
Year Later’s mission is to inspire the adoption of sustainable energy by creating the most captivating future electric vehicles, centered around the human experience. We constantly seek talented, motivated individuals possessing a proven track record of excellence to join our team. Become part of a once-in-a-lifetime opportunity to transform the automotive and mobility industry.
Candidates must have experience in developing Machine learning models.
In-depth knowledge of machine learning, deep-learning processing techniques.
Experience in Natural Language Processing, and text data handling.
Coding experience Python with hands on with any of the deep learning frameworks: Tensor flow, Keras, Theano, Caffe, Torch, OpenCV. Scraping Realtime data, knowledge of Selenium.
Well-versed with both structured and un-structured database handling.
The desired candidate should be a quick thinker and should have a track record of high-performance product development.
Adopt a pragmatic approach to AI, capable of articulating complex technical requirements in a manner this is simple and relevant to stakeholder use cases.
Develop AI/ML solutions/applications leveraging the latest industry and academic advancements.
Ability to work cross-functionally, and across borders drawing on a broader team of colleagues to effectively execute the AI agenda.
Roles and Responsibility
Real time experience in Feature Engineering / Feature Selection and Hyper parameter tuning
Real time experience in using libraries: Scikit-learn, NLTK.
Strong hands-on coding expertise with Python and related frameworks
Designing and developing machine learning and deep learning systems
Running machine learning tests and experiments
Research and Implementing the ML algorithms that could be used to solve a given problem and ranking them by their success probability
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
Extend existing ML libraries and frameworks
Keep abreast of developments in the field
3 to 5 years
To apply for this job please visit www.linkedin.com.