AI LLM Delivery Manager (Big Data/NLP/Cybersecurity)

Location: Noida (Remote)
Salary: Up to ₹20 LPA
Key Responsibilities
Production Operations: Lead end-to-end production operations for large-scale AI/ML data programs, ensuring delivery against Service Level Agreements (SLA), Turnaround Time (TAT), quality, productivity, and cost targets.
Team Management: Manage large production teams, driving performance through effective people management, coaching, capability development, and performance management.
Workforce Planning: Own workforce planning, capacity forecasting, staffing, resource allocation, utilization, shrinkage, absenteeism, and attrition management.
Performance Monitoring: Monitor production volumes, productivity, backlog, utilization, quality, and operational KPIs through dashboards and management reports.
Talent Coordination: Ensure optimal manpower availability by collaborating closely with Talent Acquisition and HR on hiring plans, onboarding, ramp-up, and workforce requirements.
Operational Improvement: Drive initiatives to improve productivity, reduce attrition and shrinkage, optimize utilization, and enhance overall operational efficiency.
Cross-Functional Collaboration: Partner with AI/ML, Technology, Data Science, Quality, Training, HR, Talent Acquisition, and Program Management teams to resolve operational and technical challenges.
Program Leadership: Lead new program launches, transitions, pilots, and large-scale production ramp-ups while ensuring operational readiness.
Process Optimization: Identify process gaps and bottlenecks, driving Root Cause Analysis (RCA), Corrective and Preventive Actions (CAPA), Lean/Six Sigma, continuous improvement, and automation initiatives.
Qualifications
Experience: Minimum of 7 years in Production Management, AI Data Operations, Artificial Intelligence & Machine Learning, Data Analytics & Visualization, Natural Language Processing (NLP), Database Systems & Big Data Engineering, Software Engineering & DevOps, Cybersecurity & Data Privacy.
Education: Bachelor’s degree in a relevant domain.
Skills
Strong leadership and team management capabilities.
Excellent analytical and problem-solving skills.
Proficiency in data analytics and visualization tools.
Familiarity with AI/ML workflows and production environments.
Strong communication and interpersonal skills.
Skills: ml,cybersecurity,data,database systems,natural language processing (nlp),big data,nlp,productivity,devops,software engineering,analytics,utilization

Work arrangement
No