Manager - Machine Learning Services

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.