
Manager - Machine Learning Services
2 weeks ago
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, and 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.
- Organizational and interpersonal skills to keep project goals clear, have timely connections with internal team/clients, and ensure deliveries are checked and tested prior to.
- 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.
Requirements :
- Full-time bachelor's or master's degree in either of the following specializations :Management/Engineering/Communication.
- Overall, 3-5 years of experience in ML project management, AI quality monitoring, or a similar role.
- 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.
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