Machine Learning & Deep Learning Experts

We at CrunchMetrics are looking for a talented Machine Learning Scientist with a background in Machine Learning development who desires to work on building solutions to complex challenges and can create, innovate, and define the next generation of autonomous analytics solutions. This role requires an expert level of data science knowledge as well as experience with data science techniques, systems and processes. The position will report to the Head of Strategy and Products at CrunchMetrics and will be based in Bangalore, India. Info Category : AI Job Code : CMA01 No. of openings : 7 Qualifications 6-8 years proven experience in building Machine Learning/Deep Learning based solutions/products. Strong handson skill in Python using libraries like NLTK, SkLearn or experience in R and Java. Proven background in at least one of the following Reliability models, Markov Models, Stochastic models, Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, Nonparametric Methods, Multivariate Statistics. Experience working with large data sets and tools like Elastic Search, Spark and Hive. Excellent communication skills including the ability to present technical concepts to a wide range of audiences, both internal and external. Ability to work effectively across teams. We at CrunchMetrics are looking for a talented Machine Learning Scientist with a background in Machine Learning development who desires to work on building solutions to complex challenges and can create, innovate, and define the next generation of autonomous analytics solutions. This role requires an expert level of data science knowledge as well as experience with data science techniques, systems and processes. The position will report to the Head of Strategy and Products at CrunchMetrics and will be based in Bangalore, India. Info Category : AI Job Code : CMA01 No. of openings : 7 Qualifications 6-8 years proven experience in building Machine Learning/Deep Learning based solutions/products. Strong handson skill in Python using libraries like NLTK, SkLearn or experience in R and Java. Proven background in at least one of the following Reliability models, Markov Models, Stochastic models, Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, Nonparametric Methods, Multivariate Statistics. Experience working with large data sets and tools like Elastic Search, Spark and Hive. Excellent communication skills including the ability to present technical concepts to a wide range of audiences, both internal and external. Ability to work effectively across teams.