Natural Language Processing Engineer
By Chartd At Canada
Supporting application deployment and management in cloud environments (AWS, Azure).
Excellent architectural and code organization skills
Working or scientific experience with NLP and ML
5+ years of hands-on experience with Python, working in OOP and ORM environments
Experience with application deployment to any of the major cloud services
Experience with FastAPI is a plus
Data Engineer (Large Language Models)
By BASF At Mississauga, Ontario, Canada
Leverage Microsoft Azure Cloud services for data storage, processing, and management, ensuring seamless integration with our AI infrastructure.
Solid programming skills in Python and experience with data manipulation libraries such as Pandas or NumPy.
Collaborate with AI researchers, data scientists, and other stakeholders to independently gather requirements.
Share your knowledge and expertise with colleagues and promote a culture of innovation and excellence within the organization.
Strong experience building (parallel) data processing pipelines, using Apache NiFi, Spark/Databricks, Azure Data Factory, or similar technologies.
Strong experience using relational and NoSQL databases (like Elasticsearch).
Research Assistant In Natural Language Processing
By The University of Manchester At Manchester, Ontario, Canada
Overall Purpose of the Job
Enquiries about the vacancy, shortlisting and interviews:
This vacancy will close for applications at midnight on the closing date.
Please see the link below for the Further Particulars document which contains the person specification criteria.
Staff Systems Engineer – Signal Processing
By MDA At Richmond, British Columbia, Canada
Provide sound technical guidance to upper management and lead technical solutioning for new business pursuits.
Undergraduate degree or higher in Electrical Engineering, Engineering Physics, Math, Physics, or a combination of related education and experience;
Ability to learn new technologies and space borne remote sensing domain knowledge quickly; and
12 or more years of overall experience working in an engineering or technical environment;
Experience in different types of engineering life cycles as applicable from large complex programs to software development;
Ability and knowledge to work with MATLAB, Python or C++;

Are you passionate about Natural Language Processing? We are looking for a talented engineer to join our team and help us develop cutting-edge NLP solutions. You will have the opportunity to work on a wide range of projects, from developing new algorithms to optimizing existing ones. If you are excited about the potential of NLP and have the skills to make it happen, then this is the job for you!

Overview A Natural Language Processing (NLP) Engineer is responsible for developing and implementing algorithms and models to process and analyze natural language data. They use a variety of techniques and tools to create systems that can understand and interpret natural language, such as text, speech, and images. Detailed Job Description A Natural Language Processing Engineer is responsible for developing and implementing algorithms and models to process and analyze natural language data. They use a variety of techniques and tools to create systems that can understand and interpret natural language, such as text, speech, and images. They work closely with data scientists, software engineers, and other professionals to develop and deploy NLP systems. They also work with product teams to ensure that the systems are meeting customer needs. Job Skills Required
• Knowledge of natural language processing (NLP) techniques and algorithms
• Experience with machine learning and deep learning
• Knowledge of programming languages such as Python, Java, and C++
• Ability to analyze and interpret large datasets
• Knowledge of natural language processing libraries and frameworks
• Ability to work independently and as part of a team
• Excellent problem-solving and communication skills
Job Qualifications
• Bachelor’s degree in computer science, engineering, or a related field
• Experience with natural language processing (NLP) techniques and algorithms
• Experience with machine learning and deep learning
• Knowledge of programming languages such as Python, Java, and C++
• Knowledge of natural language processing libraries and frameworks
Job Knowledge
• Knowledge of natural language processing (NLP) techniques and algorithms
• Knowledge of programming languages such as Python, Java, and C++
• Knowledge of natural language processing libraries and frameworks
• Knowledge of machine learning and deep learning
Job Experience
• Experience with natural language processing (NLP) techniques and algorithms
• Experience with machine learning and deep learning
• Experience with programming languages such as Python, Java, and C++
• Experience with natural language processing libraries and frameworks
Job Responsibilities
• Develop and implement algorithms and models to process and analyze natural language data
• Use a variety of techniques and tools to create systems that can understand and interpret natural language, such as text, speech, and images
• Work closely with data scientists, software engineers, and other professionals to develop and deploy NLP systems
• Work with product teams to ensure that the systems are meeting customer needs
• Analyze and interpret large