Senior ML Services Analyst

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 KPI 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 the 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.
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.

Experience
5-7 yrs