Machine Learning/Deep Learning Experts

As a Machine Learning Scientist at CrunchMetrics, your role will involve working on building solutions to complex challenges and innovating to define the next generation of autonomous analytics solutions. You will need to leverage your expert level of data science knowledge and experience with data science techniques, systems, and processes. Key Responsibilities: - Build Machine Learning/Deep Learning based solutions/products with 6-8 years of proven experience - Demonstrate strong hands-on skills in Python using libraries like NLTK, Scikit-learn or hands-on experience in R and Java - Utilize your expertise in at least one of the following: Reliability models, Markov Models, Stochastic models, Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, Non-parametric Methods, Multivariate Statistics - Work with large data sets and tools like Elastic Search, Spark, and Hive - Communicate effectively by presenting technical concepts to a wide range of audiences, both internal and external - Collaborate across teams effectively Qualifications: - 6-8 years of proven experience in building Machine Learning/Deep Learning based solutions/products - Strong hands-on skill in Python using libraries like NLTK, Scikit-learn or hands-on 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, Non-parametric Methods, Multivariate Statistics - Experience working with large data sets and tools like Elastic Search, Spark, and Hive - Excellent communication skills with the ability to present technical concepts to a wide range of audiences, both internal and external - Ability to work effectively across teams The position will report to the Head of Strategy and Products at CrunchMetrics and will be based in Bangalore, India.,