Data Scientist enhancing merchandising and inventory performance using machine learning techniques at Nordstrom. Collaborating with teams to develop data - driven solutions for better customer experiences.
About the role
- Lead AI initiatives as Senior AI Manager at Daxtra, driving innovation in AI/ML solutions and managing a data science team. Collaborate across departments to integrate advanced AI capabilities into products.
Responsibilities
- Lead and manage a team of data scientists and ML engineers, fostering innovation and collaboration.
- Develop, train, and deploy AI/ML models with a focus on Generative AI, embeddings, vector search, and deep learning.
- Research and implement state-of-the-art techniques in NLP, LLMs, and representation learning.
- Optimize and scale AI models for real-world applications in a production environment.
- Collaborate with product and engineering teams to integrate AI capabilities into enterprise solutions.
- Stay updated on advancements in AI/ML, evaluating emerging tools, frameworks, and methodologies.
- Establish best practices for AI model governance, ethics, and responsible AI deployment.
- Mentor junior team members and contribute to an AI-driven culture.
- Stay updated with the latest advancements in machine learning by regularly reviewing academic literature and research papers.
Requirements
- Master’s or PhD in Computer Science, Machine Learning, AI, Data Science, or a related field.
- 7+ years of experience in AI/ML development, with at least 2 years in a leadership or managerial role.
- Strong experience with Generative AI, embeddings, vector databases, and representation learning.
- Generative AI experience with Hugging Face, fine-tuning open-source LLMs like Mistral/Llama/Gemma/Phi/Qwen, vLLM, Text Generation Inference, unsloth, LoRA, adapters, DPO, ORPO, hugging face inference endpoints, LlamaIndex.
- Experience with retrieval-augmented generation (RAG), semantic search, and LLM fine-tuning.
- Knowledge of cloud-based AI solutions (AWS, GCP, Azure) and MLOps best practices.
- Excellent problem-solving skills and ability to translate business challenges into AI solutions.
- Hands-on experience with cloud AI services (AWS, GCP, Azure) and developing microservices using FastAPI, Flask, or Django, with expertise in containerized deployment (Docker).
- Strong communication and collaboration skills.
Benefits
- Opportunity to lead cutting-edge AI initiatives in a dynamic environment.
- Work with a team of passionate AI/ML experts driving innovation.
- Competitive compensation, benefits, and opportunities for professional growth.
- Flexible work environment with remote-friendly options.
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