Generative AI Consultant
Required Skills: Generative AI Copilot, AI Ethics, DevOps, CI/CD, Agile Methodologies, Project management tools
Job Description
Strong understanding of machine learning and deep learning principles and algorithms.
• Experience in developing and implementing generative AI models and algorithms.
• Have built high volume RAG based multi-modal applications with Vertex AI/ Hugging face/Azure OpenAI. Solution Architect experience in designing and implementing LLM centric reasoning based solutions.
• Has experience in designing and implementing modern LLM based solutions such as Agentic Workflows using frameworks like Langgraph, CrewAI or AG2
• Proficiency in programming languages such as Python and DL frameworks like TensorFlow and PyTorch.
• Ability to work with large datasets and knowledge of data preprocessing techniques.
• Familiarity with natural language processing (NLP) and computer vision for generative AI applications.
• Experience in building and deploying generative AI systems in real-world applications.
• Utilize advanced machine learning techniques to develop and train generative AI models.
• Collaborate with cross-functional teams to groom and preprocess large datasets for model training.
• Research and implement cutting-edge algorithms and architectures for generative AI applications.
• Take care of entire prompt life cycle like prompt design, prompt template creation, prompt optimization for various GenAI base models
• Stakeholder management across business and domains as required for the projects
• Evaluating base models and benchmarking performance
• Implement prompt guardrails to prevent attacks like prompt injection, jail braking and prompt leaking
• Develop, deploy and maintain auto prompt solutions
• Design and implement minimum design standards for every use case involving prompt engineering
• Writing reusable, testable, and efficient code using Python
• Design and implementation of low-latency, high-availability, and performant applications
Preferred Qualifications:
• Experience with AI ethics and responsible AI practices.
• Knowledge of DevOps practices and tools for continuous integration and deployment (CI/CD).
• Familiarity with Agile methodologies and project management tools.
• Previous experience in a leadership role within an AI or data science team.
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Mandatory Skills: Generative AI Copilot .
Required Skills: Generative AI Copilot, AI Ethics, DevOps, CI/CD, Agile Methodologies, Project management tools
Job Description
Strong understanding of machine learning and deep learning principles and algorithms.
• Experience in developing and implementing generative AI models and algorithms.
• Have built high volume RAG based multi-modal applications with Vertex AI/ Hugging face/Azure OpenAI. Solution Architect experience in designing and implementing LLM centric reasoning based solutions.
• Has experience in designing and implementing modern LLM based solutions such as Agentic Workflows using frameworks like Langgraph, CrewAI or AG2
• Proficiency in programming languages such as Python and DL frameworks like TensorFlow and PyTorch.
• Ability to work with large datasets and knowledge of data preprocessing techniques.
• Familiarity with natural language processing (NLP) and computer vision for generative AI applications.
• Experience in building and deploying generative AI systems in real-world applications.
• Utilize advanced machine learning techniques to develop and train generative AI models.
• Collaborate with cross-functional teams to groom and preprocess large datasets for model training.
• Research and implement cutting-edge algorithms and architectures for generative AI applications.
• Take care of entire prompt life cycle like prompt design, prompt template creation, prompt optimization for various GenAI base models
• Stakeholder management across business and domains as required for the projects
• Evaluating base models and benchmarking performance
• Implement prompt guardrails to prevent attacks like prompt injection, jail braking and prompt leaking
• Develop, deploy and maintain auto prompt solutions
• Design and implement minimum design standards for every use case involving prompt engineering
• Writing reusable, testable, and efficient code using Python
• Design and implementation of low-latency, high-availability, and performant applications
Preferred Qualifications:
• Experience with AI ethics and responsible AI practices.
• Knowledge of DevOps practices and tools for continuous integration and deployment (CI/CD).
• Familiarity with Agile methodologies and project management tools.
• Previous experience in a leadership role within an AI or data science team.
͏
Mandatory Skills: Generative AI Copilot .
