Lead the design development and deployment of machine learning and GenAI models in collaboration with AI Architects Cloud Engineers and CRM Development Teams
Architect end to end ML pipelines from data preparation and model training to deployment and monitoring ensuring scalability efficiency and compliance
Evaluate and fine tune state of the art models eg Gemini GPT 4 and other LLMs and integrate them into enterprise systems such as Salesforce
Guide retraining efforts to maintain model performance fairness and ethical standards
Mentor junior engineers and provide technical leadership on best practices in ML model development optimization and MLOps
Collaborate cross functionally with product owners data scientists and business stakeholders to translate business needs into AI solutions
Ensure AI governance and ethics by monitoring for bias ensuring data privacy compliance and adhering to responsible AI principles
Stay ahead of industry trends tools and research to continuously innovate and improve AI capabilities within the organization
Document architectures workflows and model lifecycles for transparency reproducibility and audit readiness
Required Experience:
Senior IC
Lead the design development and deployment of machine learning and GenAI models in collaboration with AI Architects Cloud Engineers and CRM Development TeamsArchitect end to end ML pipelines from data preparation and model training to deployment and monitoring ensuring scalability efficiency and co...
Lead the design development and deployment of machine learning and GenAI models in collaboration with AI Architects Cloud Engineers and CRM Development Teams
Architect end to end ML pipelines from data preparation and model training to deployment and monitoring ensuring scalability efficiency and compliance
Evaluate and fine tune state of the art models eg Gemini GPT 4 and other LLMs and integrate them into enterprise systems such as Salesforce
Guide retraining efforts to maintain model performance fairness and ethical standards
Mentor junior engineers and provide technical leadership on best practices in ML model development optimization and MLOps
Collaborate cross functionally with product owners data scientists and business stakeholders to translate business needs into AI solutions
Ensure AI governance and ethics by monitoring for bias ensuring data privacy compliance and adhering to responsible AI principles
Stay ahead of industry trends tools and research to continuously innovate and improve AI capabilities within the organization
Document architectures workflows and model lifecycles for transparency reproducibility and audit readiness
Required Experience:
Senior IC
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