Senior Machine Learning Engineer (Speech/NLP)

About the Employer
Annual Salary
Not disclosed

Job Description

Senior Machine Learning Engineer

On behalf of our client, Procom is looking for a Senior Machine Learning Engineer. Reporting to the Development Manager for the Voice Assistant Product, the candidate will be responsible for designing and implementing new development projects and completing and augmenting the current solutions and services. The main purpose of the NLP / ML Engineer is to provide expertise in these growing areas for the DFA team. They will lead the development of the natural... language capabilities and machine learning as it relates to the bot providing customer value.
The successful candidate will also connect with other feature teams working in these areas. You will collaborate with Product Managers, Developers, Technical Writing and Quality Assurance throughout the development process to ensure the product is functionally complete and technically solid. This is an excellent opportunity to join a rapidly growing innovator in a technically challenging and rewarding role.
Responsibilities
-Contribute to design and implementation of our natural language processing and dialogue system( eco system, microservices)add models to system.
-Develop deep learning models for speech recognition and natural language understanding
-Enhance and improve machine learning ops pipeline
-Research and POC for state-of-the-art technologies in natural language processing problems
-Provide statistical analysis of customer questions and conversations
-Assist in maintaining and deploying DFA microservice architecture on a cloud provider (Azure, AWS)
Required Skills
-Bachelor’s Degree (MSc+ is preferred) in Computer Science/Engineering or a related quantitative discipline
-Strong experience working with deep learning / deep neural networks
-3+ years of experience with programming languages such as Python, Java (both preferred)
-2+ years of experience in building models for deep learning, speech recognition and natural language processing systems
-Experience with Neural Network frameworks such as Tensorflow, PyTorch, Caffe, Torch, MxNet, etc.
Desired Skills and Experience
-5+ years of experience in building models for deep learning, speech recognition and natural language processing systems
-Solid Machine Learning background and familiar with deep learning, speech and machine learning techniques
-Have publications or research work in applying deep learning methods to natural language processing
-Excellent written and spoken communication skills
-Familiar with Azure, GCP or AWS
Location: Remote – Anywhere in North America
Duration: PermanentShow full descriptionCollapse

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