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Warner Bros. Discovery - Lead - AI / ML FinOps Solutions

Warner Bros. Discovery - Lead - AI / ML FinOps Solutions

Warner Bros. DiscoveryHyderabad
23 hours ago
Job description

Description : As the Lead AI / ML FinOps for one of the largest International Media & Entertainment companies, you will drive the financial optimization of AI / ML operations at scale, ensuring our systems are both cutting-edge and cost-efficient.

With AI / ML technologies playing a critical role in content creation, personalization, and audience engagement, your expertise will be instrumental in optimizing resource utilization, managing budgets, and implementing innovative cost-saving strategies.

Based in India, you will lead the charge in setting up and evolving a robust AI / ML financial operations framework, collaborating closely with engineering, data science, and finance teams.

This role is perfect for someone passionate about AI / ML technology and operational excellence, with a strong focus on financial stewardship.

If youre excited by the challenge of combining deep technical expertise with strategic financial planning to create real-world impact, wed love to have you on board

AI / ML Financial Planning and Cost Optimization :

  • Develop and implement strategies to optimize the cost of AI / ML workloads across cloud and on-premise environments.
  • Analyze and forecast AI / ML resource consumption, creating actionable insights to drive financial efficiency.
  • Establish KPIs and benchmarks for AI / ML operational costs, ensuring alignment with budgetary goals.
  • Collaborate with cloud vendors to negotiate contracts and optimize pricing models for AI / ML services.
  • Identify opportunities for cost reduction through model performance improvements, workload optimizations, and better infrastructure management.

Cloud and Infrastructure Cost Management :

  • Lead initiatives to optimize cloud resource allocation for AI / ML workloads, ensuring scalability and efficiency.
  • Monitor and manage the financial impact of AI / ML resource utilization, leveraging tools like FinOps platforms and custom analytics dashboards.
  • Drive adoption of cost-aware practices across teams, promoting efficient use of compute, storage, and networking resources.
  • Establish governance policies to prevent cost overruns and ensure compliance with organizational financial guidelines.
  • Recommend strategies for multi-cloud and hybrid-cloud deployments to achieve cost and performance objectives.
  • Collaboration and Stakeholder Engagement :

  • Partner with data science, engineering, and product teams to align AI / ML operational goals with business priorities.
  • Work closely with finance and procurement teams to streamline budgeting, reporting, and approval processes for AI / ML initiatives.
  • Act as a bridge between technical teams and business leaders, ensuring clear communication of financial trade-offs and benefits.
  • Build strong relationships with cloud service providers to leverage their expertise and tools for cost optimization.
  • Advocate for financial best practices within AI / ML operations, fostering a culture of accountability and cost-conscious innovation.
  • AI / ML Workflow and Lifecycle Management :

  • Oversee the end-to-end lifecycle of AI / ML models, focusing on efficient resource usage during development, training, and deployment phases.
  • Implement cost-aware model retraining schedules based on business needs and performance thresholds.
  • Collaborate with MLOps teams to streamline model deployment pipelines, reducing operational overheads.
  • Monitor and analyze the financial impact of different AI / ML use cases to prioritize high-value projects.
  • Develop processes to decommission obsolete models and infrastructure to avoid unnecessary expenditures.
  • Innovation and Continuous Improvement :

  • Stay updated on emerging technologies and trends in AI / ML FinOps, leveraging innovations to enhance cost efficiency.
  • Lead the evaluation and adoption of tools and frameworks for AI / ML cost monitoring and optimization.
  • Promote a mindset of continuous improvement, encouraging teams to experiment with cost-effective methodologies.
  • Drive internal knowledge-sharing sessions to disseminate best practices in AI / ML financial management.
  • Collaborate on global initiatives to standardize and improve AI / ML FinOps practices across the organization.
  • Qualifications & Experiences :

    Academic Qualifications :

  • Bachelors or Masters degree in Computer Science, Engineering, Data Science, Finance, or a related field.
  • Specialized certifications in FinOps, Cloud Cost Management, or AI / ML technologies are highly desirable.
  • Professional Experience :

  • 6+ years of experience in AI / ML operations, cloud cost optimization, or a related field, with a strong emphasis on financial planning and governance.
  • Proven track record of managing AI / ML workloads in cloud environments such as AWS, Azure, or Google Cloud.
  • Extensive experience in building and implementing FinOps strategies for large-scale AI / ML projects.
  • Familiarity with AI / ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and their computational requirements.
  • Expertise in budgeting, cost forecasting, and financial modeling for technology initiatives.
  • Technical Skills :

  • Proficiency in cloud cost management tools like AWS Cost Explorer, Azure Cost Management, or third-party solutions (e.g., CloudHealth, Apptio).
  • Strong understanding of AI / ML infrastructure, including GPUs, TPUs, and distributed computing architectures.
  • Experience in automating financial reporting and monitoring using analytics tools and scripts (e.g., Python, SQL).
  • Knowledge of MLOps practices and tools, including CI / CD pipelines, model monitoring, and version control.
  • Strong data analysis skills to identify cost-saving opportunities and drive actionable insights.
  • Other Skills :

  • Excellent leadership and communication skills, with the ability to influence stakeholders across levels.
  • Strong problem-solving and analytical abilities, with a focus on financial impact and operational efficiency.
  • Proactive mindset, with a passion for innovation and continuous improvement.
  • Proven ability to work collaboratively in a cross-functional and dynamic environment.
  • Strong organizational skills, with the ability to manage multiple priorities and deliver results under tight deadlines
  • (ref : hirist.tech)

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