Machine learning Developer

Job Description:

Machine Learning:
? Machine learning libraries, frameworks, techniquesML frameworks such as: Tensorflow,
Keras, PyTorch, Deep Learning etc.
? Deep learning and neural network, supervised and unsupervised machine learning models.
? Programming languages e.g. Java, Javascript, Python, C++
? Leading cloud technologies such as AWS/Azure/GCP.
? ML algorithms including Regression, Classification, Clustering and regularization
techniques such as Dropout, weight decay, generative pre-training.
? Various software development tools, software process, and environments: IDE, debugger,
source control, bug tracking, etc.
? Development of Statistical Models using Machine Learning Python/R.
? Involved in Development of Models using analytical techniques including decision trees,
random forests and other quantitative methods.
? Understanding Client prospects and helping them provide analytic solutions.
? Strong experience in building analytical solutions and delivering tangible business value.
? Model development (neural network, deep learning, random forest).
? Building and deploying analytical solutions that have resulted in material financial results
and extensive management experience.
? Link analysis to find deeply-connected first- and third-party fraud networks.
? Text mining/sentiment analysis/natural language processing.
? Understanding of data structures, data modeling and software architecture.
? Deep knowledge of math, probability, statistics and algorithms.
? Ability to write robust code in Python, Java and R.
? Familiarity with machine learning frameworks (like Keras or PyTorch) and libraries (like
scikit-learn).