hands-on experience in machine learning engineering. Proven expertise in regression modelling and time series modelling. Numpy/Pandas/Keras/Tensorslow/XGBoost/Scikit-learn Experienced in GCP preferably Extensive background in deploying and productionizing machine learning models. Strong programming skills in languages such as Python, R more »
one or more additional programming languages (Java, JavaScript, C++, Go, C#) is highly beneficial. Experience of machine learning frameworks and toolkits such as sklearn, XGboost, TensorFlow Good cloud skills AWS & Azure Familiarity with Unix and scripting languages. Proficient with Docker working in any container orchestrator such as k8s, OpenShift, Docker more »
building using R and/or Python languages (generalized linear models, logistics/linear Regression, Tree based and Boosting models, Decision trees, Random Forest, XGBoost etc.- Basic understanding of Neural network and deep learning models). Possess experience with Machine learning/Pattern recognition areas. Should possess basic Data Engineering more »
