Data Scientist

This role seeks a skilled Data Scientist with expertise in Generative AI and Large Language Models (LLMs) to design, develop, and deploy AI-driven solutions for enterprise challenges. The ideal candidate will possess strong technical depth and innovative problem-solving skills to create scalable and production-ready AI systems.

Requirements

• Design and implement cutting-edge AI solutions leveraging Generative AI and LLM-based architectures.
• Develop and optimize AI models focused on generative architectures for enterprise applications.
• Integrate APIs and libraries such as Azure OpenAI GPT models and Hugging Face Transformers.
• Build and manage end-to-end AI pipelines – from data ingestion and preprocessing to model training, evaluation, and deployment.
• Utilize vector databases (e.g., Redis) and NoSQL databases for large-scale data management and generative outputs.
• Implement similarity search algorithms and retrieval-based techniques for efficient knowledge access.
• Curate, clean, and preprocess large datasets for generative AI applications.
• Research and experiment with transfer learning, domain adaptation, and model compression techniques.
• Collaborate with cross-functional stakeholders to identify opportunities for AI adoption and deliver business impact.
• Work with domain experts to customize Generative AI solutions tailored to specific business needs.
• Establish robust evaluation metrics and methodologies to assess generative model performance and quality.
• Ensure compliance with data privacy, security, and ethical standards in all AI projects.
• Stay current with emerging trends and advancements in Generative AI and LLM research.

Benefits

• Competitive salary
• Growth opportunities
• Collaborative work environment