Machine learning Specialist - Natural Language
Seeking machine learning specialist in natural language processing and machine learning.
We are working on a smart platform that is capable of business-oriented knowledge representation and predictive modeling.
Qualified individuals will work on client teams to create semantic representation from unstructured free-texts, predominantly news articles..
Job responsibilities include, but are not limited to:
Build pipelines for multi-label classification on news articles
Evaluate various algorithmic approaches in information extraction
Train and optimize predictive models
Information retrieval (with web scraping and parsing)
Maintain and sanitize entries in the databases
Write wrappers to connect backend with frontend UI
Proficient with Python (preferred) or Java
Knowledge of NLP and machine learning libraries (e.g., NLTK, Scikit Learn)
Knowledge of common methods in information extraction
Experience with tools and methods for feature engineering
Experience in predictive modeling and parameter optimization
Familiarity with AWS and Linux/Unix environments
Good problem-solving skills
Good communication (written, verbal) and teamwork skills
Experience in NoSQL DBMS is a plus
Machine learning Specialist - Computer Vision
We are seeking a talented machine learning specialist with expertise in computer vision.
Strong machine learning background, with hands-on experience in building real systems
Deep understanding of state of the art machine learning and deep learning algorithms, techniques and best practices
Experience working with one or more deep learning frameworks such as TensorFlow, Caffe, MXNet, Keras, PyTorch
Strong analytical and problem solving skills
Experience integrating machine learning algorithms into applications
Experience in signal processing, image and video processing, computer vision
Written and verbal communications skills; comfortable presenting to management teams
Used to communicating with a diverse team, with both experts and novices, in technical and non-technical roles
Ability to work hands-on in cross-functional teams with a strong sense of self-direction
MS or Ph.D. in Computer Science or a related field (Mathematics, Statistics, Physics or Electrical and/or Computer engineering) with a focus on machine learning (deep learning) is preferred.