Machine learning Engineer

W-2 Open Positions Need to be Filled Immediately. Consultant must be on our company payroll, Corp-to-Corp (C2C) is not allowed.

Candidates are encouraged to apply directly using this portal. We do not accept resumes from other company/third-party recruiters.

Job Overview

Specialized Area: Machine Learning

Job Title: Machine Learning Engineer

Location: Westlake Village, CA

Duration: 9 Months

Employment Type: W-2 (Consultant must be on our company payroll. C2C is not allowed)

Minimum Requirements

1. At least two years of experience in designing and developing enterprise-scale NLP solutions in two or more of the following: Named Entity Recognition, Document Classification, Document Summarization, Topic Modelling, Dialog Systems, Sentiment Analysis, OCR text processing.
2. Excellent knowledge and demonstrable experience in using open-source NLP packages such as NLTK, Word2Vec, SpaCy, Gensim, Stanford CoreNLP.
3. Strong knowledge and working experience with NLP/ML algorithms and models (GLMs, SVM, PCA, NB, Clustering, DTs) and their underlying computational and probabilistic statistics.
4. At least 3 years of programming experience in one or more of the following: Python, R, Scala.
5. Preferably in Python and Jupyter/IPython Notebook.
6. 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.
7. 1 to 2 years of experience in ML/NLP development pipelines of large data sets, both structured and unstructured.
8. 1 to 2 years of experience building Machine Learning and NLP solutions over open-source platforms such as SciKit-Learn, TensorFlow, SparkML, Torch, Caffe, H2O.
9. Highly motivated, proactive, and a self-starter; strong sense of ownership and ability to create and execute assignments.

BLOCKCHAIN TECHNOLOGIES LLC is an equal opportunity employer inclusive of female, minority, disability and veterans (M/F/D/V). Hiring, promotion, transfer, compensation, benefits, discipline, termination and all other employment decisions are made without regard to race, color, religion, sex, sexual orientation, gender identity, age, disability, national origin, citizenship/immigration status, veteran status or any other protected status.