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Staff AI/ML Software Engineer - Python

2 - 6 years

9 - 13 Lacs

Posted:4 hours ago| Platform: Naukri logo

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Job Type

Full Time

Job Description

The Connected Customer Experience (CCX) team creates consumer-grade digital experiences and products that help our customers and partners be successful and realize the value of their ServiceNow investment. Leveraging the latest technologies, and built on ServiceNow s intelligent platform, we deliver a seamless, personalized experience at every step of our customers journey. The products we build power digital business for ServiceNow and can even become commercially available.
As a Staff AI/ML Software Engineer within CCX you will build data pipeline, ML Models, secure code thats scalable and reusable. Grow our business by bringing internal products to the world and find new ways to personalize with AI/ML and simplify how employees and customers work. Implement software that empowers internal customers to extend what it can do to meet their specific needs, as our own "customer zero."

What you get to do in this role:

  • Design and build scalable search ranking, indexing and personalization systems.
  • Develop real-time and batch ML models using embeddings, collaborative filtering, and deep learning.
  • Integrate user behavior signals, session data, and content metadata to optimize relevance.
  • Experience working with LLM technologies, including developing generative and embedding techniques, modern model architectures, retrieval-augmented generation (RAG), fine tuning / pre-training LLM (including parameter efficient fine-tuning), Deep reinforcement learning and evaluation benchmarks
  • Collaborate cross-functionally with product, data, and infra teams to deploy experiments and measure impact.
  • Optimize retrieval, filtering, and ranking algorithms in production search pipelines.
  • Real-time Personalization using query Embeddings for Search Ranking
  • Monitor model performance and continuously iterate using A/B testing and offline evaluation metrics
  • Experience in MLOps and model governance
  • Strong analytical and quantitative problem-solving ability
  • Deep expertise in distributed computing strategies in Azure, AWS or GCP Cluster, enhancing the parallel processing capabilities

To be successful in this role you have:

  • Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools,

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