Associate Manager- ML Project Management

Job Title: Associate Manager, Machine Learning Services

Job Responsibilities:

• Collaborate with Product, Services, Engineering and Data Science teams to build and deliver AI products.
• Connect with internal and external stakeholders to understand use cases and advise on solutions.
• Translate complex technical concepts to non-technical stakeholders.
• Perform and manage tasks daily including but not limited to data annotation, AI quality monitoring, and KPIs monitoring.
• Assist in training the team on AI-specific configuration, AI model development, delivery processes, and data analysis.
• Knowledge of office tools like Lucid Charts, Confluence, JIRA, MS Office suite to build organized professional-level documentation.
• Understand responsibilities and priorities, sense possible pitfalls, and timely discuss them with the team.
  
• Assist or co-own escalations, work on high priority incidents, collaborate and delegate tasks within the team to meet resolutions, and establish effective synergy among stakeholders.
• Develop systems and procedures to ensure quality of delivery.
• Understand the scope of deliveries and create collaborative delivery plans.
• Be accountable for service delivery performance, meeting customer expectations, and aiding in driving future demand.
• Assist in people management, including staff recruitment, performance assessment and training.

Preferred Qualification:

• Full-time bachelors or masters degree in either of the following specializations: Management/Engineering/Communication.
• Overall, 3-5 years of experience in ML project management, AI quality monitoring or similar role.

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  Understanding and knowledge of Agile and Scrum processes, terminologies, and artifacts.
• Prior experience and background in service delivery, AI quality monitoring, data annotation, KPI monitoring, data management, team management, client communication, vendor management, and documentation.
• Awareness of ML lifecycle and workflows, from initial client consultation to final deployment.
• Good written and verbal communication skills - Ability to create training documentation, review project documents for peers, and create custom documentation when required for a client.
• Organizational and interpersonal skills to keep project goals clear, have timely connects with internal team/clients, and ensure deliveries are checked and tested in prior.
• Ability to collaborate - working with the Manager on setting team goals, planning, and achieving them. Also, present/share newer solutions or ideas for growth and improvements in the team.
• Taking ownership of critical incidents, coordinating with resolution parties, and establishing effective communication between stakeholders for post-incident reviews.
• Ensuring that systems, procedures, and methodologies are in place to support outstanding service delivery.
• Developing a deep understanding of the projects to gain insights into the scope of service delivery.
• Taking accountability for service delivery performance, meeting customer expectations, and driving future demand.
• Analyzing third-party as well as internal processes and creating strategies for service delivery optimization.