Position: Senior ML Engineer
Company: GlobalLogic
Experience required: 3y
English level: upper

New social and digital channels are transforming how enterprises do business. However, this new technology brings new risks. Companies often lack adequate visibility to evaluate internal risk, let alone external cyber threats.

Job Description
3+ years of relevant commercial experience
Proven track record of building and shipping ML pipelines using both supervised and unsupervised learning techniques as well as incremental learning.  Must have real experience of development and release ML solution in Production with real customer usage.
Must have experience and good knowledge with one of the following popular open-source ML technologies:
TensorFlow
Scikit-learn
Theano
Strong experience in building NLP models
Is a big plus to have Python and/or other relevant programming experience
Must be able to work independently with minimum guidance and supervision
Must possess excellent written and verbal skills in English

Job Responsibilities
Create and configure Machine Learning POC (inclusive of infrastructure) using AWS cloud.
Create Machine Learning pipelines and train models
Integrate pipelines with our existing applications
Act as ML expert for team; working together with customer’s (SSG) architect and others in our GL team
Help design Production infrastructure for ML pipeline creation
Help test and tune performance of Production infrastructure for ML pipeline