Artificial Intelligence yst

Overview:

Key Responsibilities:

• Collaborate with crossfunctional teams to identify and understand business requirements for AI projects
• Develop and implement machine learning algorithms and models to extract insights from large datasets
• Design and deploy AI solutions to automate processes and improve operational efficiency
• Conduct exploratory data analysis and apply statistical techniques to interpret and visualize data
• Utilize natural language processing and text mining techniques to analyze unstructured data
• Apply deep learning methods to develop innovative solutions for complex business challenges
• Utilize computer vision to develop image and video processing applications
• Evaluate and integrate thirdparty AI tools and technologies as needed
• Provide technical expertise and guidance on AI best practices to stakeholders and team members
• Monitor and optimize the performance of AI models and solutions
• Stay updated with the latest trends and advancements in AI and machine learning
• Contribute to the development of AI strategies to support business objectives
• Collaborate with data engineers and software developers to implement AI solutions
• Communicate findings and insights to nontechnical stakeholders in a clear and comprehensible manner
• Ensure compliance with data privacy and ethical standards in AI implementation

Required Qualifications:

• Bachelors degree in Computer Science Data Science Mathematics Statistics or related field
• Proven experience in developing AI and machine learning models
• Proficiency in programming languages such as Python R or Java
• Strong understanding of machine learning algorithms statistical modeling and data analysis
• Experience with natural language processing (NLP) and text mining techniques
• Handson experience with deep learning frameworks such as TensorFlow or PyTorch
• Familiarity with computer vision and image processing applications
• Ability to solve complex problems and think critically
• Strong communication and collaboration skills to work effectively in a team environment
• Experience with cloud platforms and big data technologies is a plus
• Knowledge of ethical considerations and regulatory requirements in AI and data science
• Ability to adapt to fastpaced and evolving technological landscapes
• Strong attention to detail and a passion for continuous learning and skill development
• Certifications in AI machine learning or related fields are desirable
• Ability to present technical information to nontechnical stakeholders in a clear and concise manner

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