Job Description :

Minimum Qualifications :

1. Must-Have : ML, NLP, or Computer Vision. (AWS or Azure or Google cloud)

2. Minimum of 10+ 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.)

3. Extensive experience in handling Time-series data

4. Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)

5. Experience in working on anomaly detection

6. Experience in handling structured and unstructured data.

7. Strong hands-on experience with statistical packages and ML libraries (e.g. Python scikit learn, Spark MLlib, etc.)

8. Experience in developing and debugging in one or more of the languages - Python.

Preferred Qualifications :

1. Experience working with relational and NoSQL/Graph databases

2. Unsupervised & Deep Learning Experience

3. Experience in applying Machine Learning techniques

4. Ability and willingness to multi-task and learn new technologies quickly.