LLM Development: Design, develop, and implement Large Language Models from scratch, leveraging proprietary data to create tailored AI solutions.
Data Engineering: Oversee data extraction, ingestion, cleansing, and transformation processes to ensure high-quality inputs for model training.
Model Fine-Tuning: Apply advanced techniques such as transfer learning, hyperparameter tuning, and regularization to optimize model performance.
Generative AI Expertise: Utilize generative AI technologies, embeddings, and vector databases to enhance model capabilities and ensure seamless integration with applications.
Cloud Integration: Develop and deploy AI solutions using cloud platforms such as Azure OpenAI, Google Vertex AI, and AWS.
Leadership: Lead cross-functional teams, including data scientists, engineers, and business analysts, to deliver AI-driven solutions aligned with organizational goals.
Strategic Consulting: Provide insights and best practices for integrating generative AI into business processes, ensuring secure and effective deployment.
Stakeholder Collaboration: Work closely with clients and internal teams to understand business needs, define project scope, and deliver impactful AI solutions.
Innovation and Research: Stay updated on the latest advancements in AI/ML and generative AI technologies to drive innovation and maintain competitive edge.
Qualifications
Proven experience in designing and building LLMs from scratch using proprietary data.
Expertise in AI/ML technologies, including Python, R, PyTorch, TensorFlow, and LangChain.
Proficiency in data engineering, including data extraction, transformation, and visualization.
Strong knowledge of generative AI tools and technologies, such as embeddings, vector databases, and prompt engineering.
Hands-on experience with cloud platforms like Azure OpenAI, Google Vertex AI, and AWS.
Demonstrated leadership experience in managing cross-functional teams and delivering complex AI projects.
Excellent communication and consulting skills to interact with stakeholders and translate business needs into technical solutions.
Advanced degree in Computer Science, Data Science, or a related field is preferred.
Experience
Full Stack developer with over 15 years of experience
