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Senior Data Scientist – Generative AI and LLMs
Не указаноПолная занятостьData ScienceDefense and Aerospace
Join small, multidisciplinary research and development teams building innovative Generative AI, LLM, AI agent, and multimodal capabilities for intelligence and information-extraction applications. Lead solutions from research through deployment in operational systems.
Обязанности
- Research and develop Generative AI, LLM, and AI agent capabilities.
- Build AI solutions supporting information extraction, investigation, analysis, and decision-making processes.
- Develop multimodal capabilities using text, speech, images, video, and other data types.
- Lead end-to-end solutions from research and innovation through implementation in operational systems.
- Collaborate with small teams spanning artificial intelligence, algorithms, software engineering, and intelligence-domain expertise.
Требования
- Bachelor’s degree in engineering, computer science, or an exact science.
- At least 3 years of experience developing AI, machine learning, or deep learning solutions.
- Practical experience developing LLM- or Generative AI-based applications.
- Experience with NLP, information retrieval, knowledge retrieval, or unstructured data analysis.
- Practical Python development experience.
- Ability to conduct research, learn independently, and solve complex problems.
- Ability to work in multidisciplinary environments combining technology with subject-matter expertise.
Будет плюсом
- Experience with speech technologies, including speech-to-text, text-to-speech, or speech analysis.
- Experience developing RAG-based solutions and systems for knowledge retrieval, extraction, and delivery.
- Familiarity with Generative AI and agent development frameworks such as Google ADK, LangChain, or LangGraph.
- Experience working with multimodal data, including text, audio, and images.
- Experience evaluating AI model performance and deploying models in production.
Условия и преимущества
- Work on innovative AI capabilities for intelligence and information extraction.
- Significant autonomy to lead research ideas and develop new solutions.
- Collaborate in focused, high-quality teams with broad product and technology impact.
- Work in an environment supporting innovation, continuous learning, and advanced AI experimentation.