Data Scientist

Job Summary


Responsibilities

• Broad understanding of LLM architectures, training methodologies, and usage patterns.
• Practical experience applying LLMs, including:
• Managing context windows effectively.
• Selecting appropriate models for specific tasks.
• Implementing safety guardrails and alignment techniques.
• Decomposing complex tasks into model-friendly components.
• Strong experience in evaluating and validating data pipelines and ML systems.
• Familiarity with AI-specific evaluation methods, including both quantitative metrics and qualitative assessments.
• Ability to make well-reasoned decisions grounded in technical understanding and real-world constraints.
• Pragmatic approach to experimentation and solution design.

You will need

• Actively engaged in learning and staying current with developments in AI and machine learning.
• Curious, adaptable, and committed to continuous improvement.
• Focused on delivering practical, scalable, and responsible AI solutions.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.