GenAI Presales
GenAI Presales
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Job Description
GenAI Presales
Job Title: Presales Consultant Generative AI on AWS
Experience: Minimum 3 years
Location: Bengaluru or Mumbai India
Job Summary:
Shellkode is seeking a dynamic and knowledgeable Presales Consultant specializing in Generative AI solutions on Amazon Web Services (AWS). The ideal candidate will possess a strong technical background in AI/ML coupled with excellent communication and presentation skills to effectively engage with clients and drive the adoption of our Generative AI offerings.
Key Responsibilities:
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Client Engagement: Collaborate with sales teams to understand customer requirements and provide expert guidance on Generative AI solutions.
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Solution Design: Design and deliver compelling Solution and SoW and demonstrations of our Generative AI offerings to both technical and non-technical audiences.
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Technical Expertise: Maintain an in-depth knowledge of AWSs Generative AI services and relevant cross-functional areas to build strong relationships with customers.
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Proposal Development: Develop custom solutions and proposals that meet client needs showcasing the value of our Generative AI capabilities.
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Market Analysis: Stay abreast of industry trends and advancements in Generative AI to inform product roadmaps and enhance the customer experience.
Qualifications:
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Educational Background: Bachelor s degree in Computer Science Engineering or a related field.
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Experience: Minimum of 3 years in technical presales or solutions architecture with a focus on AI/ML technologies.
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Technical Skills: Strong understanding of AWS Generative AI technologies and their application in business contexts. Familiarity with AWS AI platforms including Amazon SageMaker Amazon Bedrock and other AI/ML services.
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Communication Skills: Excellent communication and presentation skills with the ability to convey complex technical concepts to non-technical stakeholders.
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Problem-Solving: Proven ability to develop custom solutions and proposals that meet client needs.
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Team Collaboration: Ability to work in a fast-paced dynamic environment and manage multiple projects simultaneously.
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Certifications: AWS Certified Solutions Architect or equivalent is a plus.
Preferred Qualifications:
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Experience with building validating and deploying Generative AI models and applications on cloud infrastructure.
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Sound knowledge of machine learning fundamentals with working knowledge of frameworks such as PyTorch TensorFlow JAX or MXNet.
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Knowledge of MLOps tools and workflows for model development validation and deployment.
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Experience in design implementation or consulting in applications and infrastructures.
Additional Information:
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Travel: Willingness to travel as needed to support sales efforts.
Work Environment: Collaborative and innovative work culture with opportunities for continuous learning and career growth.
ai/ml,jax,generative ai,pytorch,agents,sagemaker,amazon bedrock,presentation skills,mlops,project management,team collaboration,tensorflow,machine learning,mxnet,aws,bedrock,problem-solving,communication,amazon sagemaker,presentation,technical documentation,rag,proposal development,proposal generation,data analysis,solution design
Employment Type
Full Time
