Data Scientist

Qualification: B.E, B.Tech, M.E, M.Tech, M.C.A

5-10 years of experience overall experience. 5 years building text Mining, NLP Machine learning and data science.
Concepts List - Machine/Deep Learning (algorithms, neural networks), Natural Language Processing (detection, classification), Computer Vision (object recognition/tracking, OCR/handwriting recognition), Speech to Text, Text to Speech
AI solutions Virtual Agents, Video Analytics, Unique Identity/ biometrics, inference engines, intelligent/elastic search, ontologies/knowledge representations
Hands on experience in Deep Feed forward Neural Network, LSTM, CNN.
Strong Experience in NLP concepts and algorithms like LDA, word embeddings, Word2Vec, bag-of-words N-gram models, POS tagging, TF-IDF, Sentiment Analysis, Named entity recognition (NER), intent detection, sentiment analysis etc.
Strong in programing languages like Python, Scala, R (Strong hold on more than one language a Must)

Data Technologies NoSQL, MongoDB, Neo4J, Oracle SQL, Hadoop, Pig, Hive, Impala
Cloud based solutions such as Amazon AWS, MS Azure etc.
Strong understanding and experience in ML techniques: SVM, boosting, K-means, KNN, HMM, GMM, ensemble classifier, deep learning etc. Publications in relevant fields in top-tier conferences and journals.
Good to have experience in Spark, Scala, Pyspark, Jupyter Notebook etc.
Affinity to learn and deploy solutions using latest / new technologies
Technically very strong, Strong communication skills, both written and spoken English

Must be quick to develop solutions, should have a sense of Urgency
Must have experience in various algorithmic solutions spanning across different types of data ranging from numeric, textual (structured or unstructured), images, and video