MLOps Engineer

Mandatory Skillsets (Expert Level):

Artificial Intelligence (AI) Natural Language Processing (NLP) - Python Machine Learning - PostgreSQL

Required Qualifications & Experience:

-Masters +5 years of experience or Bachelor s degree + 7 years of experience

-Formulate and rapidly prototype various approaches as well as effectively communicate the pros and cons of each.

-Ability to contribute to a high-performing, motivated workgroup by applying interpersonal and collaboration skills to achieve project goals

-Provide technical guidance in the fields of NLP, Machine Learning, Statistical Methods

-Provide data-driven approaches to tackle various business and NLP problems

-Ability to contribute to the creation of an environment that motivates individuals to work collaboratively as a team

Requires proficiency in:

-Python (including developing, testing, and deploying production ML pipelines)

-Regular Expressions

-SQL (PostgreSQL)

-No-SQL (MongoDB)

-Version control systems (Git)

-Experience with ML frameworks: Tensorflow, PyTorch, Transfomers, Scikit-learn, XGBoost, LSTM, Keras, Pandas, BERT, CNN, RNN, SVMs, k-Nearest Neighbors, Linear/Logistic Regression and Classification, Ensemble Methods, Graphical Models, Clustering, Tesseract

-Information Extraction

-Statistical model building (particularly classification)

-Ability to draw insights from sparsely labeled textual data

-Ability to leverage domain knowledge as well as ontologies to improve model performance

Knowledge of and experience using various NLP approaches, particularly:

-Pattern recognition/feature extraction

-Supervised, Unsupervised, and Semi-Supervised learning techniques

-Understanding of various language models (N-Gram, Skipgram, NLM, etc.)

-Practical experience leveraging open source libraries for emerging DNN approaches to NLP (transformers, BERT, RoBERTA, etc.)

-Chunking/Tokenization

-Semantic parsing

Highly desired Skillsets:

-Experience with NLP technologies

-Experience with machine learning

-Cloud Services Provides (AWS, Azure, Google Cloud Platform)

-Web Service technologies such as SOAP, WSDL, WS-Security, MTOM, SWA

-Relational Databases such as DB2, Oracle, MySQL, SQL, JDBC

-NoSQL databases such as MongoDB and HBase

-Hadoop, Spark, HDFS, MapReduce, YARN, Scala, MapReduce, Pyspark

-XML processing experience such as XSD, XPath, XSL, XSLT, etc.

-ebXML

-IBM MQ Series