AI Engineer

Qualifications

• The ideal candidate will possess a strong foundation in machine learning, deep learning, and natural language processing, coupled with practical experience in software engineering and cloud platforms like AWS and Azure
• Proficiency in Python and experience with Agile methodologies are essential
• Strong problem-solving and communication skills are crucial for success
• Machine Learning: Comprehensive knowledge
• Deep Learning: Thorough knowledge
• Natural Language Processing (NLP): Thorough knowledge
• Python (Programming Language): Comprehensive knowledge
• Software Engineering: Thorough knowledge
• Software Development: Thorough knowledge
• Agile Methodology: General knowledge
• Problem Solving: Comprehensive knowledge
• Communication: General knowledge
• Operations, Debugging, Code Review, Management

Responsibilities

• This role requires a highly skilled AI Engineer to design, develop, and deploy cutting-edge AI solutions
• The engineer will collaborate effectively within a team, contributing to all phases of the software development lifecycle, from design and implementation to testing and deployment
• Design, develop, and deploy machine learning models using Python and relevant libraries
• Implement and optimize deep learning algorithms for various applications
• Develop and maintain natural language processing (NLP) pipelines for text analysis and generation
• Build and deploy AI-powered applications using cloud platforms (AWS and Azure)
• Conduct thorough code reviews and ensure code quality using Git for version control
• Troubleshoot and debug AI models and applications
• Collaborate with cross-functional teams using Agile methodologies
• Contribute to the improvement of CI/CD pipelines for efficient software delivery
• Implement scalable and robust AI solutions
• Document and maintain technical specifications

Full Description

Company Information:

US English Default.

Description:

This role requires a highly skilled AI Engineer to design, develop, and deploy cutting-edge AI solutions.

The ideal candidate will possess a strong foundation in machine learning, deep learning, and natural language processing, coupled with practical experience in software engineering and cloud platforms like AWS and Azure.

Proficiency in Python and experience with Agile methodologies are essential.

The engineer will collaborate effectively within a team, contributing to all phases of the software development lifecycle, from design and implementation to testing and deployment. Strong problem-solving and communication skills are crucial for success.

Responsibilities:

• Design, develop, and deploy machine learning models using Python and relevant libraries.

• Implement and optimize deep learning algorithms for various applications.

• Develop and maintain natural language processing (NLP) pipelines for text analysis and generation.

• Build and deploy AI-powered applications using cloud platforms (AWS and Azure).

• Conduct thorough code reviews and ensure code quality using Git for version control.

• Troubleshoot and debug AI models and applications.

• Collaborate with cross-functional teams using Agile methodologies.

• Contribute to the improvement of CI/CD pipelines for efficient software delivery.

• Implement scalable and robust AI solutions.

• Document and maintain technical specifications.

Minimum Qualifications:

• Machine Learning: Comprehensive knowledge.

• Deep Learning: Thorough knowledge.

• Natural Language Processing (NLP): Thorough knowledge.

• Python (Programming Language): Comprehensive knowledge.

• Software Engineering: Thorough knowledge.

• Software Development: Thorough knowledge.

• Agile Methodology: General knowledge.

• Problem Solving: Comprehensive knowledge.

• Communication: General knowledge.

Preferred Qualifications:

• Experience with React.js, Java, C++, C#, JavaScript, and SQL.

• Experience with API development and integration.

• Experience with database management systems.

• Demonstrated experience with automation and scripting.

• Experience with containerization technologies (e.g., Docker, Kubernetes).

• Experience with big data technologies (e.g., Spark, Hadoop).

• Proven ability to work independently and as part of a team.

• Strong understanding of scalability and performance optimization.

• Experience with Microsoft Azure and Amazon Web Services.

• Experience with CI/CD pipelines.

Additional Desired Skills:

Operations, Debugging, Code Review, Management

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