Generative AI consultant

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 .

Experience: 8-10 Years

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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 .

Experience: 8-10 Years

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.