Data Scientist

3 weeks ago

Philippines Innodata Inc. Full time

We’re seeking a Data Scientist with a specialization in Prompt Engineering to join our Data & Analytics team. This role is ideal for someone passionate about large language models (LLMs), generative AI, and crafting high-performance prompts that drive intelligent behavior in AI systems. You’ll work at the intersection of data science, NLP, and product innovation to optimize AI outputs and enhance user experiences. Key Responsibilities Design, test, and refine prompts for LLMs to achieve specific outcomes across various use cases. Analyze model responses to identify patterns, biases, and areas for improvement. Collaborate with product, engineering, and UX teams to integrate prompt strategies into AI-driven features. Develop evaluation frameworks to measure prompt effectiveness and model performance. Stay current with advancements in generative AI, prompt tuning, and fine-tuning techniques. Contribute to internal libraries and documentation for reusable prompt templates and best practices. Qualifications Bachelor’s or Master’s degree in Data Science, Computer Science, Linguistics, or related field. Strong understanding of NLP concepts, transformer models, and generative AI. Experience working with LLM APIs (e.g., OpenAI, Anthropic, Cohere) or open-source models (e.g., LLaMA, Mistral). Proficiency in Python and relevant libraries (e.g., LangChain, Hugging Face, spaCy). Excellent analytical and communication skills, with a knack for creative problem-solving. Familiarity with prompt evaluation metrics and human-in-the-loop testing. Preferred Skills Experience in prompt tuning, retrieval-augmented generation (RAG), or fine-tuning LLMs. Background in UX writing, computational linguistics, or conversational AI. Knowledge of English language and cultural nuances for localization tasks. Prior work with multilingual models or regional deployment of AI systems. What We Offer Competitive salary aligned with Philippine market standards. Flexible work setup (remote, hybrid, or on-site). Access to cutting-edge AI tools and research. Health and wellness benefits. #J-18808-Ljbffr

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