ML Services Manager

Responsibilities:
Collaborate with product engineers and data science teams to build and deliver AI products.
Connect with the internal and external stakeholders to understand use cases and advise on solutions.
Ability to translate complex technical concepts to non-technical stakeholders.
Training the team on AI-specific configuration, AI model development and delivery process and data analysis.
Ability to understand responsibilities and priorities, sense possible pitfalls, and timely discuss them with the team.
Owning escalations and priority incidents, collaborating to meet resolutions, establishing effective synergy amongst the stakeholders and gathering their reviews.
Developing systems and procedures to ensure quality of delivery.
Understanding the scope of deliveries and creating collaborative delivery plans.
Being accountable for service delivery performance, meeting customer expectations, and aiding in driving future demand.
Assisting in people management, including staff recruitment, performance assessment, training, and mentoring.
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:
An ideal candidate should have proficient knowledge of handling office tools like Lucid Charts, Confluence, JIRA, and the MS Office suite to build organized, professional-level documentation.
Full-time master's degree in either of the following specializations: management, engineering, or communication.
Overall, 7-10 years of experience in ML project management or a similar leadership role.
Understanding and knowledge of Agile and Scrum processes, terminologies, and artifacts.
Prior experience and background in service delivery, data management, team management, client communication, vendor management, and documentation.
Working knowledge of the 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 catch-ups with the internal team/clients, and ensure deliveries are checked and tested prior.
Ability to collaborate - working with the product manager on setting team goals, planning, and achieving them. Also, present/share newer solutions or ideas for growth and improvements in the team.
Required Core Skills:
AI Project/Portfolio Management: Cross-product, vendor, and budget management.
Leadership and Communication: Effective Team and Stakeholder Engagement.
Insights Generation: Expertise in Power BI for Data-Driven Decisions.
AI/ML Lifecycle: Managing End-to-End Implementation.
Client and Stakeholder Management: Building Strong Relationships and Ensuring Satisfaction.
Operational Efficiencies: Driving Process Improvements and Cost Optimization.

Experience
7-9 yrs