Qualification and Experience:

Bachelor's degree in computer science, statistics, mathematics or a related field (preferred) Minimum 3+ years of experience in the relevant field. Proven experience in ETL/ELT, Oracle Data Integrator (ODI) is preferred.Strong analytical thinking and problem-solving capabilities Effective communication and interpersonal skills Strong SQL queries, data modelling concepts are mandatory.Data mining through state-of-the-art methods.Knowledge of a variety of machine learning techniques (clustering, decision tree learning, rtificial neural networks, etc.) and their real-world advantages/drawbacks.Experience working with ML/DL frameworks like Scikit-Learn, TensorFlow, Keras, PyTorch, etc. as well as a firm grip over modern state-of-the-art and good-to-have NLP architectures such as BERT, GPT3/GPT4, Reformer, RNNs, CNNs, LSTMs, etc. and vector space models such as GloVe, Word2vec, USE, etc.Good to have Familiarity with Model Serving APIs like, Django, Flask & StreamLit. Peer-reviewed publications in topics of advanced data science, machine learning, deep learning, or NLP.Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, proper usage, etc.) and experience with applications.Expert knowledge and Experience in working on conventional Computational Linguistics problems such as Syntactic Processing, Word Sense Disambiguation, Context-Free grammar, Lexical Semantics, Quantification, Plurality, etc.Expert knowledge and Experience in working on conventional NLP problems like Informational Retrieval, Relevance Ranking, and Search, Question-Answer Generation, Natural Language Inference, Topic Modeling, Unstructured Text Pipelines/Modeling, Anomaly Detection, Text Summarization, etc.Experience using statistical computer languages (Python, SQL, etc.) to manipulate data and draw insights from large data sets.A drive to learn and master new technologies and techniques. Certifications in the relevant domain and demonstratable experience in research and development are a plus.Good to have peer-reviewed publications on topics of advanced data science, machine learning, deep learning, or NLP

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