
Advanced AI Research Scientist Position
2 days ago
We are seeking a highly skilled and innovative researcher to join our advanced AI/GenAI team. In this role, you will lead the design, experimentation, and implementation of cutting-edge Generative AI services.
- Lead research and development of GenAI models and services, with a focus on real-world applications.
- Rapidly prototype and validate experimental approaches to assess feasibility and effectiveness.
- Act as a technical reference and mentor for other team members, providing guidance on best practices, architecture, and model development.
- Translate complex business requirements into clear, actionable research tasks and technical objectives.
- Design and implement robust data pipelines to support large-scale AI/ML experimentation and deployment.
- Collaborate with cross-functional teams including ML engineers, data scientists, and product managers to define research goals and translate them into deliverables.
- Conduct rigorous experimentation, benchmarking, and evaluation of GenAI models (e.g., LLMs, diffusion models).
- Stay abreast of the latest research in GenAI, NLP, and machine learning, and apply findings to improve model performance and capabilities.
- Develop high-quality, maintainable Python code for research prototypes and production systems.
Requirements
Key Qualifications:
- Bachelor's or master's degree in computer science, Data Science, Machine Learning, or related field.
- 5+ years of professional experience in AI/ML development, with a strong focus on NLP, generative AI, and vector search.
- Strong proficiency in Python programming, with hands-on experience using libraries such as PyTorch, TensorFlow, Hugging Face Transformers, and LangChain.
- Deep understanding of machine learning fundamentals, including deep learning, optimization techniques, generative AI, NLP, LLMs, and Retrieval-Augmented Generation (RAG).
- Expertise in transformer-based models and embeddings (e.g., BERT, RoBERTa, GPT), and their application in real-world scenarios.
- Proficiency with vector databases and approximate nearest neighbor (ANN) search tools such as FAISS, Milvus, or Pinecone.
- Experience building and maintaining scalable data pipelines using tools like Pandas, Spark, or Airflow.
- Familiarity with SQL for data manipulation and analysis.
- Experience with cloud platforms and containerization technologies.
- Excellent problem-solving skills, attention to detail, and a research-oriented mindset.
- Strong communication and collaboration skills, with the ability to work in cross-functional teams.
About Our Organization
We are a leading consumer intelligence company, delivering comprehensive consumer insights and revealing new pathways to growth. We have combined with another industry leader to bring together two companies with unparalleled global reach.
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