Required Technical Skills/Education:
-Excellent understanding of data mining , machine learning techniques & algorithms, Deep learning, NLP and computer vision
-Good knowledge of Tensorflow, PyTorch, NLTK, Transformer models, LLMs and its application, Present state-of-art NLP & CV techniques, SQL
-Strong coding experience: Python, Java, JavaScript, C/C++ etc.
- Broad set of technical skills and expertise in Deep learning focused on cutting edge technologies such as IoT, artificial intelligence (AI), and cloud computing.
- Familiar with IoT framework and experience in implementing algorithms in any of the cloud-based platforms – Azure, PTC, AWS.
- Fluent English (both written and spoken), solid technical writing, presentation and communication skills.
- Good understanding of control systems
Preferred Technical Skills/Education:
- Strong hands-on experience in an deep learning environment and applications.
- Experienced in NER, Context modelling, Information retrieval, Sentiment Analysis, Object detection, Image Classification
- Strong hands-on experience in collecting, filtering, organizing, and analyzing large-scale dataset using cloud-based platform.
- Strong hands-on experience in implementing analytics algorithms to cloud-based IoT platforms (AWS preferred).
- Strong hands-on experience with the following libraries from Python: Pandas, Numpy, Scipy, Scikit-Learn, TensorFlow, Spacy, NLTK, PyTorch, CNNs (ResNET, ImageNET etc), OpenCV, Transformer models, VAEs, GANs, Diffusion models, Matplotlib, Seaborn, Plotly, SALib.
- Experience with developing end-to-end analytics solution using Python or cloud-based implementation is a plus.
