Purple Drive
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Technical Execution:
• Design and develop GenAI models, including fine-tuning large language models (e.g., GPT, LLaMA, Claude).
• Lead the evaluation and integration of foundation models and APIs (e.g., OpenAI).
• Architect scalable and secure AI pipelines for data processing, training, and deployment.
• 2+ years of hands-on experience with generative AI technologies and large language models
• Proven experience working with Microsoft Copilot (GitHub Copilot) or Azure OpenAI Services
• experience building Gen AI solutions with AWS Bedrock
• Strong programming skills in Python, with experience in AI/ML frameworks
• Knowledge of prompt engineering, fine-tuning, and model optimization techniques
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Innovation & R&D:
• Stay up-to-date with the latest research and trends in generative AI, multimodal models, and MLOps.
• Drive experimentation with new models, prompt engineering, and domain-specific adaptations.
• Create internal GenAI tools, copilots, or agents to enhance employee productivity and customer engagement.
•
Governance & Ethics:
• Ensure AI systems are explainable, fair, and aligned with ethical guidelines and data privacy laws.
• Establish monitoring systems to track model performance, drift, and user feedback in production.
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Required Qualifications:
• Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or a related field (PhD preferred).
• 10+ years of experience in AI/ML, with at least 3+ years in hands-on GenAI or LLM-related projects.
• Strong experience with ML frameworks, LLMs (GPT, BERT, etc.), and cloud AI platforms (AWS, Azure, GCP).
• Deep understanding of transformer architectures, embeddings, prompt engineering, RAG, and fine-tuning techniques.
• Proven track record of delivering GenAI applications in enterprise or production environments.
Technical Execution:
• Design and develop GenAI models, including fine-tuning large language models (e.g., GPT, LLaMA, Claude).
• Lead the evaluation and integration of foundation models and APIs (e.g., OpenAI).
• Architect scalable and secure AI pipelines for data processing, training, and deployment.
• 2+ years of hands-on experience with generative AI technologies and large language models
• Proven experience working with Microsoft Copilot (GitHub Copilot) or Azure OpenAI Services
• experience building Gen AI solutions with AWS Bedrock
• Strong programming skills in Python, with experience in AI/ML frameworks
• Knowledge of prompt engineering, fine-tuning, and model optimization techniques
••
Innovation & R&D:
• Stay up-to-date with the latest research and trends in generative AI, multimodal models, and MLOps.
• Drive experimentation with new models, prompt engineering, and domain-specific adaptations.
• Create internal GenAI tools, copilots, or agents to enhance employee productivity and customer engagement.
•
Governance & Ethics:
• Ensure AI systems are explainable, fair, and aligned with ethical guidelines and data privacy laws.
• Establish monitoring systems to track model performance, drift, and user feedback in production.
•
Required Qualifications:
• Bachelor's or master's degree in computer science, Artificial Intelligence, Machine Learning, or a related field (PhD preferred).
• 10+ years of experience in AI/ML, with at least 3+ years in hands-on GenAI or LLM-related projects.
• Strong experience with ML frameworks, LLMs (GPT, BERT, etc.), and cloud AI platforms (AWS, Azure, GCP).
• Deep understanding of transformer architectures, embeddings, prompt engineering, RAG, and fine-tuning techniques.
• Proven track record of delivering GenAI applications in enterprise or production environments.