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Job Title: Agile Project Manager with Machine Learning Knowledge
About the Role:
We are seeking a talented and driven Agile Project Manager to lead teams working on cutting-edge Machine Learning projects. You will be responsible for overseeing the delivery of ML-based solutions, ensuring that our agile teams adhere to best practices, and that we meet project milestones with high quality and efficiency. This role requires a blend of deep agile project management experience and a strong understanding of machine learning technologies and workflows.
Responsibilities:
- Agile Leadership: Lead, coach, and mentor cross-functional teams using Agile methodologies (Scrum, Kanban, or other frameworks) to ensure the successful and timely delivery of machine learning projects.
- Project Delivery: Manage multiple ML projects simultaneously, ensuring that project goals, timelines, and budgets are met while maintaining a high level of quality.
- Stakeholder Communication: Act as the primary point of contact for both internal and external stakeholders. Ensure alignment on project expectations, scope, and progress.
- Backlog Management: Work closely with Product Owners and technical teams to manage and prioritize the product backlog, ensuring that user stories are well-defined and ready for sprints.
- Risk Management: Identify and mitigate risks related to the ML projects, including dependencies, resources, and technological constraints.
- Collaboration with Data Science and Engineering Teams: Work closely with data scientists, engineers, and other technical resources to ensure alignment between project requirements and the execution of ML algorithms/models.
- Quality Assurance: Ensure that the machine learning models are developed and tested with high-quality standards, including model performance evaluation, accuracy, and robustness.
- Data Management: Ensure that data handling (cleaning, labeling, preprocessing) and model training processes follow best practices and are well understood by all team members.
Qualifications:
- Experience in Agile Project Management: Minimum 5+ years of experience in agile project management, particularly in delivering technology-driven projects using Agile frameworks (Scrum, Kanban, etc.).
- Machine Learning Knowledge: Solid understanding of machine learning concepts, methodologies, and platforms (e.g., TensorFlow, PyTorch, scikit-learn, etc.).
- Technical Understanding of ML Pipelines: Familiarity with the end-to-end machine learning pipeline, including data collection, feature engineering, model training, model evaluation, and deployment.
- Experience with ML Deployment Platforms: Exposure to ML platforms and tools (e.g., AWS Sagemaker, Google AI, Azure ML, Kubernetes for ML deployments).
- Excellent Communication Skills: Proven ability to communicate complex technical concepts to non-technical stakeholders and facilitate clear, concise project updates.
- Problem-Solving Mindset: Ability to anticipate and solve challenges specific to ML project delivery, such as data-related issues, model performance concerns, and resource allocation.
- Certified Scrum Master (CSM) or Agile PMP Certification: Preferred but not required.
- Strong Organizational Skills: Ability to manage multiple priorities, set expectations, and deliver within tight deadlines.