AI/ML Lead with Snowflake - R01542910

About Brillio:

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.

Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.

AI/ML Lead with Snowflake

Location: Remote

Job Description:

We are seeking an experienced and visionary AI Lead to spearhead our advanced AI initiatives, leveraging cutting-edge technologies such as Snowflake Cortex AI, fine-tuning large language models (LLMs), prompt engineering, and Retrieval-Augmented Generation (RAG). The ideal candidate will have a strong technical background in machine learning and generative AI with a focus on deploying scalable AI solutions that drive business value.

Key Responsibilities:

Lead AI Strategy & Implementation:

Design and lead the development of AI solutions using Snowflake Cortex AI to support diverse business needs.

Oversee the full lifecycle of AI projects, from ideation and experimentation to production and scaling, ensuring alignment with business objectives.

LLM Fine-Tuning & Optimization:

Fine-tune and adapt pre-trained large language models (LLMs) for specific use cases to enhance performance and relevance.

Experiment with and refine prompt engineering techniques to improve LLM outputs in line with business requirements.

Retrieval-Augmented Generation (RAG):

Develop and implement RAG frameworks to enhance information retrieval from external datasets and augment the performance of generative AI models.

Build systems to retrieve and integrate relevant knowledge for improving AI-generated content accuracy.

Snowflake Cortex AI Integration:

Lead the integration of Snowflake Cortex AI into the enterprise data architecture, leveraging its capabilities for AI-driven analytics and decision-making.

Collaborate with data engineering teams to optimize data pipelines, ensuring efficient access to structured and unstructured data for AI models.

Team Leadership & Collaboration:

Manage a team of AI researchers, data scientists, and engineers, fostering a collaborative and innovative environment.

Work cross-functionally with business, engineering, and data teams to ensure successful AI model deployment and value realization.

Model Deployment & Monitoring:

Lead the deployment of AI models into production environments, ensuring scalability, efficiency, and security.

Monitor model performance, manage updates, and implement continuous learning to improve results.

Innovation & AI Trends:

Stay up to date with the latest AI research, tools, and trends, particularly in generative AI and LLMs, and drive continuous improvement initiatives within the team.

Explore new AI applications and use cases that can drive innovation and competitive advantage.

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