Total 7+ years of hands-on experience with advanced machine learning, data mining, statistical inference, mathematical modeling and deep learning techniques.

3+ yrs of experience working as a Machine Learning Engineer and has implemented and deployed at least 2 large projects related to ML & Natural language processing (NLP) 1+ yrs of model deployment, model packaging and model lifecycle management experience as part of BYOM framework.

Broad knowledge of existing data mining, NLP algorithms and technologies (ML & DL), working knowledge of related frameworks and technologies. Knowledge of Python programming, data processing, data collection, quantitative and qualitative data analysis and good knowledge of data modeling like Linear Regression, Logistic Regression, Decision Tree, Random Forest, XG BOOST, CAT BOOST, Ada BOOST, SVM, Clustering etc

Working knowledge (Hands-on) of Databricks, Python and Snowflake.

All these are must haves.

Consumer domain experience would be a plus.

Experience working in an Agile scrum environment Preferred Qualifications:

Excellent presentation and communication skills Strong analytical and problem solving skills Experience leading and/or mentoring junior-to-mid-level technology resources Required Education Bachelor's degree in Computer Science, Engineering, Information Technology, or related field

- provided by Dice