NLP Engineer

 JOB TITLE: NLP Engineer

About the Job (NLP Engineer)

We are looking for talented, motivated full-time Natural Language (NLP) Engineers who can

deliver consistently in a fast-paced and high-quality manner. You will be responsible for building

robust, effective, and well-packaged modern NLP techniques, as well as contributing to our

open-source projects.

Responsibilities

• This position involves a wide variety of skills and innovation and is a unique opportunity

that sits at the cutting-edge of Natural Language, Machine Learning and Software

Engineering.

• Learn and implement state-of-the-art Deep Learning algorithms to support tasks such as

BERT based sub stream tasks, Sentiment Analysis, question answering, machine

translation.

• From improving data, pipeline, services, and modeling algorithms to creating

experiments and implementing prototypes rapidly, working on newer challenges every

day.

• Deliver robust, well-tested, and fully documented NLP modules at different granularity

levels.

• Continuously improve the efficiency, robustness, and cost of existing modules.

• Contribute high-quality code and lead efforts in building open-source projects.

• Work together with system architects, designers, and other engineers to build and invent

phenomenal solutions/products with a prime focus on accuracy, understandability, and

performance of the robust machine learning systems.

• Assess and recommend technology choices and directions in consideration of cost-

benefit trade-offs.

Minimum Qualifications

• 3+ years of hands-on business project coding experiences in various facets of natural

language processing.

• 3+ years of hands-on experience with at least one popular of the DL frameworks like

PyTorch, TensorFlow, etc.

• 5+ years of hands-on programming experience in one or more of the following: Java, C++,

Python or equivalent

• Excellent English language communication skills, an easy-going attitude and ability to

interact with all levels of engineers.

• Experience with source control systems, build tools and continuous integration (Gitlab,

etc.)

• Hard working, self-starter, detail-oriented at work, and proven ability to meet strict

deadlines.

Preferred Qualifications

• Masters’ degree in Computer Science or Applied Mathematics or Physics, with a

specialization in Natural Language Processing, Machine Learning, Data Mining, Robotics,

Software Engineering, Human-Computer Interaction, Statistics, or related fields with 2+

years of equivalent practice or research experience, or Ph.D. degree in relevant fields.

• Experience in deploying machine learning algorithms in resource-restricted

environments such as mobile or embedded systems is highly preferred.

• Experience in MLOps (models lifecycle, setting up environments, handling dependencies,

Model Serving (Real time/batch), containers technologies (Docker, Kubernetes etc.))

• Experience with multi-model machine learning.

• Experience with developing popular open-source projects.