Emaratech
Information Technology and Services
ArtificialIntelligenceDeveloper
Neural analysis suggests this role is
optimal for Mid candidates.
“Artificial Intelligence Developer at Emaratech. Skills: AI strategy development, machine learning model development, data analysis and modeling, innovation and research in AI, data privacy compliance. Develop a comprehensive AI and data science strategy. Identify and evaluate opportunities for integrating AI and data science”
What You'll Achieve.
improve efficiency and decision making; Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products
Industry & Context.
Identify and evaluate opportunities for integrating AI and data science into existing processes and operations to improve efficiency and decision making; Identify potential risks and challenges associated with AI projects and data science initiatives
What They're Looking For.
Must Have
Bachelor’s or Master’s Degree in Computer Sciences / Data Science/ AI, Minimum 5-8 years of experience in a similar environment, background in machine learning, statistical analysis, and data visualization
Nice to Have
Industry certifications preferred
What You'll Do.
Develop a comprehensive AI and data science strategy
Identify and evaluate opportunities for integrating AI and data science
Lead end-to-end project management of AI initiatives
Oversee the development of machine learning models and algorithms
Ensure data quality and integrity
Evaluate and select appropriate tools
technologies and frameworks
Establish monitoring mechanisms
Stay abreast of the latest developments and trends in AI and data science
Regularly evaluate the performance of AI projects and data science initiatives
Use data-driven insights to propose improvements and optimizations
Ensure compliance with data privacy regulations and ethical guidelines
Implement data protection measures
Maintain confidentiality of sensitive information
Identify potential risks and challenges associated with AI projects
How You'll Work.
Team & Collaboration
Collaborate with cross-functional teams to define project scope, requirements, and deliverables; report progress to stakeholders; provide detailed reports to senior management
Communication Scope
report progress to stakeholders; provide detailed reports to senior management
Process & Methodology
Lead end-to-end project management of AI initiatives, from conception to deployment and post-implementation evaluation, define project scope, requirements, and deliverables
Full Job Description
**AI Strategy and Vision** * Develop a comprehensive AI and data science strategy that aligns with the company’s objectives and long-term vision. * Identify and evaluate opportunities for integrating AI and data science into existing processes and operations to improve efficiency and decision making. * Lead end-to-end project management of AI initiatives, from conception to deployment and post-implementation evaluation. Collaborate with cross-functional teams to define project scope, requirements, and deliverables. **Data Analysis and Modeling** * Oversee the development of machine learning models and algorithms for various applications, such as predictive analytics, natural language processing, and computer vision. * Ensure data quality and integrity and implement best practices for data preprocessing and feature engineering and model evaluation. * Evaluate and select appropriate tools, technologies and frameworks for data analysis and modeling. * Establish monitoring mechanisms to track project performance, identify areas for improvement, and report progress to stakeholders. * Create repeatable, interpretable, dynamic, and scalable models seamlessly incorporated into analytic data products **Innovation and Research** * Stay abreast of the latest developments and trends in AI and data science, exploring innovative solutions and emerging technologies that can benefit the organization. * Regularly evaluate the performance of AI projects and data science initiatives and provide detailed reports to senior management. * Use data-driven insights to propose improvements and optimizations to existing processes **Data Privacy** * Ensure compliance with data privacy regulations and ethical guidelines throughout all data science activities. * Implement data protection measures and maintain confidentiality of sensitive information. * Identify potential risks and challenges associated with AI projects and data science initiatives **Requirements** * Bachelor’s or Master’s Degree
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