Machine Learning Engineer
About this Job:
Please find below some information about VSolve IT Services INC.
VSolve IT Services INC Consulting established in 2008 is a fast growing and very successful company focused on delivering high performance, secure IT solutions and IT services. We deliver comprehensive IT solutions and services focused on network design, migration and management.
We collaborate with leading companies around the world to provide collaborative solutions for their business and IT challenges, driven by innovative ideas supported by their customers. Professionals from around the world value extensive industry expertise in every areas, including financial and banking services, healthcare, retail, consumer goods and insurance to deliver robust digital solutions in key areas of growth. We work with clients across all kinds of businesses and industries.
Roles and Responsibilities:
- Responsible for developing machine learning solutions in Natural Language Processing (NLP), document classification, Named Entity Recognition (NER), topic modeling, document summarization, computational linguistics, advanced and semantic information search, extraction, induction, classification, and exploration.
- Create ML models for Advanced OCR and Cognitive Data Extraction capability as well as its execution.
- Develop, maintain, and deploy ML and NLP pipelines and models.
- Create NLP/ML models with high performance, quality, and stability.
Qualifications and Experience:
- Professional experience as a data scientist.
- Hands on experience in designing and developing enterprise-scale NLP solutions in two or more of - Named Entity Recognition, Document Classification, Document Summarization, Topic Modelling, Dialog Systems, Sentiment Analysis, OCR text processing.
- Excellent knowledge and demonstrable experience in using open-source NLP packages such as NLTK, Word2Vec, SpaCy, Gensim, Standford CoreNLP.
- Strong knowledge and working experience with a strong understanding of NLP/ML and algorithms and models (GLMs, SVM, PCA, NB, Clustering, DTs) and their underlying computational and probabilistic statistics.
- Hands On experience in programming experience in one or more of the following - Python, R, Scala.
- Preferably in Python and Jupyter/IPython Notebook.
- Experience in setting up supervised and unsupervised learning ML/NLP models, including data cleaning, data analytics, feature creation, model selection and ensemble methods, performance metrics, and visualization.
- Hands on experience in ML/NLP development pipelines of large data sets, both structured and unstructured.
- Hands On experience in building Machine Learning and NLP solutions over open-source platforms such as SciKit-Learn, Tensorflow, SparkML, Torch, Caffe, H2O.
- Highly motivated, proactive, and a self-starter; strong sense of ownership and ability to create and execute assignments.
- Critical thinker; ability to analyze problems and identify issues and provide solutions.
- Analytical abilities and great problem-solving.
- Highly organized.
- Effectively prioritizes and balances multiple efforts in a fast-paced environment.
- Good communication and presentation skills.