Architect - GenAI Concepts
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Type: Fulltime
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CTC: ₹ 0
Type: Fulltime
CTC: ₹ 0
GenAI JD: Generative AI Developer is responsible for designing, implementing, and managing cutting-edge Generative AI solutions on the Google Cloud Platform (GCP). This individual will be a technical leader, collaborating with various teams to understand client needs and translate them into robust Generative AI solutions. The ideal candidate possesses a deep understanding of Generative AI models, MLOps principles, and GCP"s AI/ML services. We are looking for candidates who have a broad set of technology skills and who can demonstrate an ability to design the right solutions with appropriate combinations of GCP and 3rd party technologies for deploying on the GCP cloud. Key responsibilities may include: Develop and implement GenAI solutions, collaborating with cross-functional teams, and supporting the successful execution of AI projects for a diverse range of clients. Experience developing and maintaining ML systems built with open source tools. Conduct model tuning and optimization to improve model accuracy, efficiency, and robustness.
BENGALURU
GenAI Concepts,GCP,ML Ops
GenAI Concepts,GCP,Services,ML Ops,Systems
BENGALURU
GenAI JD: Generative AI Developer is responsible for designing, implementing, and managing cutting-edge Generative AI solutions on the Google Cloud Platform (GCP). This individual will be a technical leader, collaborating with various teams to understand client needs and translate them into robust Generative AI solutions. The ideal candidate possesses a deep understanding of Generative AI models, MLOps principles, and GCP's AI/ML services. We are looking for candidates who have a broad set of technology skills and who can demonstrate an ability to design the right solutions with appropriate combinations of GCP and 3rd party technologies for deploying on the GCP cloud. Key responsibilities may include: Develop and implement GenAI solutions, collaborating with cross-functional teams, and supporting the successful execution of AI projects for a diverse range of clients. Experience developing and maintaining ML systems built with open source tools. Conduct model tuning and optimization to improve model accuracy, efficiency, and robustness.
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