Requirements ● Proven experience as a Project Manager, preferably in the AI application development domain. ● Strong understanding of project management methodologies, tools, and best practices. ● Familiarity with AI concepts, algorithms, and frameworks (e.g., TensorFlow, PyTorch) is highly desirable. ● Experience in managing full-stack development projects, including front-end and back-end development. ● Proficiency in project management tools such as JIRA, Asana, or Microsoft Project. ● Excellent leadership and team management skills, with the ability to motivate and inspire teams. ● Strong analytical and problem-solving abilities, with a focus on finding creative solutions. ● Excellent communication and interpersonal skills, with the ability to effectively communicate with both technical and non-technical stakeholders. ● Proven track record of successfully delivering complex projects on time and within budget. ● PMP or PRINCE2 certification is a plus.
Responsibilities
● Lead and manage the end-to-end project lifecycle, from initiation to closure, for AI application projects. ● Collaborate with stakeholders to define project objectives, scope, and deliverables. ● Develop detailed project plans, including timelines, milestones, and resource allocation. ● Monitor project progress, track milestones, and ensure adherence to project schedules. ● Identify and mitigate risks and issues that may impact project timelines and deliverables. ● Foster effective communication and collaboration among project team members, ensuring alignment and clarity of project goals. ● Conduct regular project status meetings and provide timely updates to stakeholders. ● Ensure adherence to quality standards and best practices in AI application development. ● Facilitate knowledge sharing and lessons learned throughout the project and organisational processes. ● Stay up-to-date with the latest trends and advancements in AI technologies and project management practices.
Additional Pluses ● Experience in managing AI projects involving machine learning models and algorithms. ● Knowledge of natural language processing (NLP) and data preprocessing techniques. ● Understanding of data engineering concepts and technologies, including data pipelines and ETL processes. ● Familiarity with cloud platforms (e.g., AWS, Azure) and their services related to AI and project management. ● Experience with Agile/Scrum methodologies and iterative development processes. ● Familiarity with change management principles and the ability to manage project scope changes effectively. ● Active participation in AI or project management communities, conferences, or relevant publications.
