Project Manager - AI Projects (PMP Certified)
Softrobotics Bangladesh Limited
- Bangladesh
- Tk. 200,000-250,000 per year
- Permanent
- Full-time
- Plan, execute, and oversee AI/ML-focused projects from initiation to closure using industry-standard project management methodologies (Agile/Waterfall/Hybrid).
- Collaborate with data scientists, AI engineers, software developers, and business stakeholders to define project scope, objectives, and success metrics.
- Translate complex AI/ML concepts into business-friendly language for executives and non-technical stakeholders.
- Develop detailed project plans, schedules, budgets, risk management strategies, and resource allocations.
- Ensure compliance with ethical AI practices, data privacy, and regulatory requirements.
- Monitor project progress, identify risks/issues, and proactively implement mitigation strategies.
- Facilitate cross-functional communication and drive stakeholder alignment throughout the project lifecycle.
- Track KPIs and provide regular status reports to leadership, ensuring transparency in delivery.
- Support change management and adoption of AI solutions across the organization.
- Bachelor of Science (BSc) in Computer Science & Engineering
- Master of Science (MSc) in Data Science
- 5 to 10 years
- Age 30 to 50 years
- PMP Certification (Project Management Professional) - mandatory.
- Bachelor's degree in Computer Science, Engineering, Business Management, or related field (Master's preferred).
- 5+ years of experience in project management, with at least 2 years managing AI/ML, data science, or automation projects.
- Strong understanding of AI concepts (machine learning, NLP, computer vision, generative AI, etc.) and their business applications.
- Proven track record of managing multi-disciplinary teams and delivering complex technical projects.
- Excellent communication, leadership, and stakeholder management skills.
- Familiarity with Agile/Scrum methodologies and AI project lifecycle (data preparation, model training, deployment, monitoring).
- Knowledge of cloud AI platforms (AWS AI/ML/Azure AI/Google Cloud AI).
- Experience with MLOps tools and AI deployment pipelines.
- Understanding of ethical AI, bias mitigation, and governance frameworks.
- Certifications in Agile (CSM, SAFe) or AI-related courses are a plus.
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