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Metro Hyderabad location and ML/AI visibility, but specialized GenAI skills moderate applicant density.
Role requires GenAI and MLOps platform expertise, moderately transferable across industries.
Explicit 7+ years, GenAI/MLOps requirements, and cloud certifications increase filtering.
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Advise leadership on developing applications, networks, security, databases, OS, or web technologies to meet complex business and technical needs across multiple groups.
Lead the strategy and resolution of complex challenges by delivering large-scale, long-term solutions requiring innovation and advanced analytical thinking.
Provide vision and direction on implementing innovative business solutions and maintain knowledge of industry best practices to recommend operational enhancements.
7+ years of engineering experience or equivalent demonstrated through work, training, military experience, or education.
Experience supporting Generative AI, Machine Learning, or AI platform initiatives is relevant.
Relevant cloud certifications such as Azure Data Engineer, Databricks, or Snowflake are desired.
Work Experience Required: 7+ years engineering experience.
Experienced in data engineering and pipeline development for GenAI data including building scalable batch and streaming pipelines.
Skilled in analytics and dashboarding to create executive dashboards for GenAI insights such as usage, performance, cost, and reliability.
Knowledgeable in MLOps/AIOps, model monitoring, and AI observability frameworks to support AI and machine learning platforms.