AI Engineer

Overview:

Key Responsibilities:

• Design and implement machine learning models and algorithms
• Develop and optimize deep learning architectures for various applications
• Utilize natural language processing techniques to extract insights from unstructured data
• Collaborate with data scientists and software engineers to integrate AI capabilities into existing products and systems
• Conduct research and experiments to explore new AI methodologies and technologies
• Deploy AI models at scale in cloud or onpremises environments
• Ensure the reliability scalability and performance of AI systems
• Contribute to the continuous improvement of AIrelated processes and workflows
• Provide technical guidance and mentorship to junior team members
• Stay updated with the latest developments in AI and related fields

Required Qualifications:

• Bachelors or higher degree in Computer Science Engineering Mathematics or related field
• Proven experience in developing and deploying machine learning models and algorithms
• Proficiency in programming languages such as Python R or Java
• Solid understanding of deep learning frameworks like TensorFlow PyTorch or Keras
• Experience with natural language processing and text analytics
• Strong knowledge of statistics and probability theory
• Ability to write efficient and scalable code for AI applications
• Familiarity with cloud platforms such as AWS Azure or Google Cloud
• Excellent problemsolving and analytical skills
• Effective communication and collaboration abilities
• Experience in productizing AI models and solutions
• Understanding of software development principles and best practices
• Publication record in AI or machine learning conferences or journals (preferred)
• Relevant certifications in AI machine learning or related domains (e.g. AWS Certified Machine Learning Specialty TensorFlow Developer Certificate)

natural language processing,python,cloud platforms,programming languages,communication,algorithm development,collaboration,software development principles,machine learning,deep learning,azure,analytical skills,google cloud,aws,statistics,problem-solving,probability theory