AI/ML Optimization Specialist

8 hours ago

Hyderabad, Telangana, India beBeeCloudcostoptimization Full time ₹ 2,50,00,000 - ₹ 4,00,00,000

Optimize AI/ML Operations for Scalable Success

Welcome to a dynamic work environment where talented professionals can thrive and grow.

We are a global leader in the media and entertainment industry, offering career-defining opportunities.

As the Lead AI/ML FinOps Engineer, you will play a critical role in optimizing our AI/ML operations at scale, ensuring our systems are cutting-edge and cost-efficient.

With expertise in cloud cost management and financial planning, you will drive the development and implementation of strategies to optimize AI/ML workloads across cloud and on-premise environments.

Main Responsibilities:

  • Develop and implement strategies to optimize 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 organizational 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.
  • 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.

Requirements:

  • 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.

What We Offer:

  • A competitive salary range between 25,00,000 - 40,00,000 per annum.
  • A comprehensive benefits package, including health insurance, retirement savings plan, and paid time off.
  • Opportunities for professional growth and development, including training, mentorship, and career advancement.
  • A dynamic and inclusive work environment that values diversity, equity, and inclusion.

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