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Tier-1 brand, metro role and broad ML/AI stack create high competition.
Specialized ML/LLM and big-data expertise moderately narrows cross-industry fit.
Explicit 10+ years requirement and specialized ML/LLM and big-data tech raise strict filtering.
Design, develop, and deploy advanced AI/ML models and algorithms to analyze complex data and improve applications like search and forecasting.
Develop and implement agent-based systems for applications such as anomaly detection and root-cause analysis.
Optimize machine learning models and pipelines for enhanced performance, scalability, and resource efficiency.
10+ years of relevant machine learning experience.
Proficiency with ML frameworks like TensorFlow and PyTorch, including deep-learning algorithms and large language models (LLMs).
Experience with search engines, vector databases, and their algorithms.
Experience with big data technologies such as Spark, Kafka, and Cassandra.
Senior-level ML engineer with extensive hands-on experience in large-scale AI/ML systems development and optimization.
Strong background in AI applications including search, forecasting, and anomaly detection.
Familiarity with big data ecosystems and deployment technologies like Docker and Kubernetes is a plus.