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13 hours ago
We are seeking a highly skilled AI/ML Specialist to join our team and contribute to designing, developing, and delivering AI/ML-powered solutions on Google Cloud/AWS. As a Customer Engineer, you will work closely with cross-functional teams to apply AI/ML concepts in real-world business scenarios, build scalable architectures, and engage directly with customers to solve complex challenges.
About the RoleThis role provides the opportunity to apply AI/ML concepts in real-world business scenarios, build scalable architectures, and engage directly with customers to solve complex challenges using GCP/AWS's AI/ML ecosystem.
Key Responsibilities- Collaborate with sales, data, and engineering teams to design and implement AI/ML solutions tailored to customer needs.
- Develop machine learning pipelines, optimize data processing workflows, and deploy models using Vertex AI, SageMaker, TensorFlow, and BigQueryML.
- Conduct product demonstrations, workshops, and proof-of-concepts (PoCs) showcasing GCP AI/ML capabilities such as Gen AI, Vertex AI, SageMaker, Bedrock, and Gemini.
- Translate business requirements into scalable, cloud-based AI/ML architectures.
- Support customers in their AI adoption journey, guiding them through best practices for model deployment, monitoring, and optimization.
- Stay updated on Google/AWS Cloud AI/ML advancements and provide insights on emerging trends and technologies.
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Machine Learning Model Developer
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Machine Learning Engineer
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Machine Learning Specialist
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Machine Learning Engineer
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Machine Learning Engineer Position
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Cloud Machine Learning Engineer
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Senior Machine Learning Engineer
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Machine Learning Engineering Team Lead
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Learning & Development Manager
2 days ago
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Learning and Development Strategist
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Learning and Development Manager
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Learning Experience Developer
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Machine Learning Engineer
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Machine Learning Engineer
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Learning and Development Specialist
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Backend Developer
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