Job Description

This project is a PLATFORM establishment and it is supposed to gather the core strategy plan at the level of international study, and the platform business model along with a case study and research and analysis of the Finalized themes of all pillars of the “customer journey” and business model in the Strategic Pillars and integrated Blue Print of the final coding and its high fidelity porotype (MVP) should be developed and provided by the hired teamwork personnel of Technical Coders and Programmers under both supervisory of strategic leadership and technical supervisory and under the weekly OKR program during the studies and cooperation period for these below components. In addition, guidance and lead on research resources and study of these components provided by the employer to the recruited team personnel person via our company's international and professional leadership team persons every week. Our collaboration agreement is in the form of a freelancing agreement under the super professional technical core and leadership management at least for 6 months and weekly regular hours-codes writing and programming. The whole round of collaboration will be done non-physical and online virtually. In order to provide further details, this cooperation will be implemented in the form of a freelancing contract, the weekly monitoring is supervising in the form of a virtual video conference by supervisory of Iranian- International super experts through a professional team added to the Technical leadership team under rules of the OKR mechanism. The strategy pillars of the Project have been determined in 7 different pillars and this invitation of collaboration belongs to Technology Pillar, and the Topics of research and programming of whole COMPONENTS of the Technology Pillar which the make the main features of coding, are as follows: Technology Pillar COMPONENTS: ● Technology road-map ● Software ● Hardware ● Big Data ● Machine leading ● Al ● Analytics ● Apps ● Dashboards ● ERPs ● API strategy (application programming interface)

Requirements

● Master's degree or Ph.D. in Artificial Intelligence. ● Talented, creative with innovative personality attributes. ● Fluent in English. ● At least 5 years of job experience. Some optional skills: ● Governance Structure of the Platforms ● Morality and ethics ● Ecosystem strategies ● Python Coding ● Hadoop Platform ● SQL Database/Coding ● Apache Spark ● Machine Learning and ( familiar with Deep learning) ● Data Visualization AI Leadership skills which are essentially considered for the AI Manager: 1. Emotional Intelligence Emotional intelligence is one of the most valued skills leaders can possess in dynamic work environments. It is the ability to recognize and manage the emotions of oneself and others for reducing conflict and better human interaction. People with high EI can connect with others and display empathy and understanding. According to a Capgemini survey, emotional intelligence is an essential skill set for the age of AI. The survey found that 74% of the executives believe that EI will become a Must-have skill and the demand for it is expected to increase by as much as six times. 2. Agility The rate of disruption that AI brings to every industry necessitates that the business leaders keep up with the change and continue making critical decisions using the newly available technologies. They should not only be able to embrace change but also celebrate it, motivate their teams to follow in their footsteps, and adapt quickly to it by developing new skills that will enable them to work with unfamiliar technologies and procedures. Here leaders need to view change not as a burden but as an opportunity to grow and innovate with their new tools. 3. Empathy Empathy is the ability to put oneself in the other’s shoes and see the world from their point of view. Leaders who are highly empathetic can establish trust with their employees and build positive relationships that can be highly productive for the organization. Managers who show greater empathy towards their employees are able to improve job performance and are even rated higher. Empathy is also essential to understand the pain points of employees and resolve conflicts that arise within teams. 4. Cultural Intelligence Workplaces are increasingly becoming diverse as people from all around the world from different cultural backgrounds are dispersed at workplaces. Therefore developing cultural intelligence is one of the essential AI Leadership skills to manage highly diverse teams. Effective leaders will be able to cross cultural boundaries and prosper while leveraging the talent that different individuals bring to the table. Therefore leaders will not only have to be aware of different cultures but should also be able to relate to people from different cultural contexts. 5. Critical and creative thinking Although AI can make calculated decisions based on existing data faster than any human can and see trends and patterns, all essential critical thinking still remains with the leaders. Critical thinking is to analyze problems from all points of view by using facts, knowledge, data, and previous experience. This aspect of logical reasoning which sometimes involves counterintuitive ways of looking at problems is not something that AI can currently do. The same also applies to decisions that involve creativity and innovation. Organizations need to constantly innovate to develop new solutions and business ideas to stay relevant. That is a task that AI is not equipped to deal with. 6. Ethical judgment Ethical judgment is a skill exclusive to human beings. While AI can come up with cost-saving alternatives and tactics, it does not have the ethical burden of dealing with the consequences of its results. The conversation around the ethics issue has gone from what the technology can do to whether or not it should do it. Therefore effective leaders must be well conversant with the regulations surrounding the technology and balance it with the rate at which it is developing. When AI develops solutions to business problems, it is up to the leaders to decide if it aligns with the organization’s values, goals, and mission. 7. Humility The mark of a great leader is the balance of confidence and humility they have within them that lets them take on challenges. Leaders need to be well grounded in the capacities of their team and not overestimate themselves even when the challenge is well within their grasp. Humble leaders also see themselves as part of the team and not as the most critical cog to the overall success. They should also be constantly striving to encourage others to shine. 8. Accountability As organizational structures become flatter and more teams work as project-based partnerships, organizations will become more transparent and collaborative. The leaders should also become more transparent and accountable to the outcome of decisions taken by the teams. Accountability in the broader sense means to own what is to be done and motivate others to work towards it. It is also more important that leaders align themselves with the principles, goals, and ethics of the organization. 9. Courage The disruption that AI is set to bring can have systems going obsolete at a faster rate than most managers can keep up. Therefore, one of the core AI Leadership skills is the ability to face what is unknown and to be fast to unlearn and relearn new things. Therefore leaders will have to quickly let go of old ways of doing things and embrace the new and sometimes risky procedures. They would also need the courage to recognize weaknesses within themselves and be open to learning and correcting them. 10. Intuition Intuition is something that is innate to human beings that no AI can match. While machines can make data-driven decisions in the short term, they cannot evaluate long-term patterns or make predictions that can match the intuition of leaders with years of experience. The vision that keeps the organization meeting its goals needs the intuition of leaders in such areas as business, political factors, and socioeconomic conditions. To Conclude AI is here to make the decision-making process on tasks that can be automated much easier for the future workforce. This frees up business leaders to focus on higher responsibilities that pertain to the human aspect of management and innovation. AI Leadership skills of the future that managers need are heavily oriented towards integrating employees and technology along with long-term decision making and vision.

Employment Type

  • Part Time

Details

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