Job Description
Minimum Qualifications :
Must-Have : ML, NLP, or Computer Vision. (AWS or Azure or Google cloud)
Minimum of 4+ years of relevant experience in implementing and deploying Machine Learning solutions (using various models, such as Linear/Logistic Regression, Support Vector Machines, (Deep) Neural Networks, Hidden Markov Models, Conditional Random Fields, Topic Modeling, Game Theory, Mechanism Design, etc.)
Extensive experience in handling Time-series data
Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
Experience in working on anomaly detection
Experience in handling structured and unstructured data.
Strong hands-on experience with statistical packages and ML libraries (e.g. Python scikit learn, Spark MLlib, etc.)
Experience in developing and debugging in one or more of the languages - Python.
Preferred Qualifications
Experience working with relational and NoSQL/Graph databases
. Unsupervised & Deep Learning Experience
Experience in applying Machine Learning techniques
Ability and willingness to multi-task and learn new technologies quickly.
(ref:hirist.tech,