QuEST Global Engineering Pvt Ltd
Knowledge of machine learning (ML) and statistical modeling concepts.
Deep knowledge of ML concepts for classification, regression, clustering, etc.
Ability to develop robust ML models in Python, MATLAB, R etc.
Develop/Understand model/network architecture
Implement, customize and fine-tune algorithms based on published papers shared by customer
Familiarity in using PyTorch, Keras/Tensorflow
Solid data science knowledge and experience in a consulting with customer managers to determine and refine machine learning objectives.
Implement machine learning algorithms for predictive models.
Transform data science prototypes and applying appropriate ML algorithms and tools.
Developing ML algorithms to analyze huge volumes of historical data to make predictions.
Solving complex problems involving multiple data sets, as well as optimizing existing machine learning libraries and frameworks
Migration of existing ML models from one platform/language to another based on requirements.
Running tests, performing statistical analysis, and interpreting test results.
Documenting machine learning processes.
Keeping up-to-date in developments in machine learning.
Computer programming skills, strong analytical/mathematical skills, knowledge of cloud applications and computer languages, strong debugging skills, excellent communication skills
Overall 5 years of experience in Artificial Intelligence domain
Experience in devising, prototyping and testing machine learning models
Knowledge of ML/DL frameworks, libraries, data structures, data modeling, and software architecture.
Expertise in developing Python & R applications.
Knowledge of Linear Algebra and Machine Learning/DL algorithms. (Work experience in developing predictive models, use cases like anomaly detection, log analysis.)
Proven Experience in using machine learning libraries in Python and R.
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