Our artificial intelligence and machine learning team needs Data Scientists with the capability to perform independent statistical and machine learning research / projects.
If you are a problem solver with a curiosity for exploring new techniques and technologies in AI / ML (Artificial Intelligence & Machine Learning) space.
Individuals should be able to break down business problems into smaller components and implement ML approaches to empower the end business decisions
Key Responsibilities :
Intermediate to expert level proficiency and thorough understanding of at least one of the upcoming technologies like deep learning, NLP, Computer Vision, recommender systems
Intermediate to expert level proficiency in statistical / ML predictive techniques such as regression, Bayesian methods, tree-based learners, SVM, RF, XGBOOST etc.
Working experience and statistical clarity in traditional algorithms like time series modeling, dimensionality reduction, SEM, GLM, GLMM, clustering and related areas
Experience of working on a project end-to-end : problem scoping, data gathering, EDA, visualizations, modeling and insights
Collaborate with business and data owners to formulate problems whose solution would be impact to the business
Strong hands on skill in Python using libraries like NLTK / Spacy, SkLearn, Keras / Tensorflow, Fastai / Pytorch, Pandas, Matplotlib, Seaborn etc.
Good to have Experience working with large data sets and tools like MapReduce, Hadoop, Hive, etc. and programming algorithms that are currently not available in distributed environment.
Good to have experience in any one of the cloud platforms such as AWS, GCP or Azure