puestos de Consultant en United States

About Us:
Daxtra is at the forefront of AI-driven innovation, leveraging cutting-edge technologies to develop intelligent solutions that enhance business outcomes. We are looking for a Senior AI Manager / Lead Data Scientist to drive our AI/ML initiatives, manage a small but high-impact team, and push the boundaries of Generative AI, machine learning, vector search, and embeddings.

Role Overview:
As a Senior AI Manager / Lead Data Scientist, you will lead the development and deployment of AI and ML models, mentor a team of data scientists and engineers, and collaborate cross-functionally to integrate AI solutions into our products. You will leverage expertise in deep learning, NLP, embeddings, and Generative AI to create scalable, real-world applications.

Key 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. Capable of translating theoretical insights into practical, real-world solutions.

Required Qualifications:

• 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.

Preferred Qualifications:

• Experience with real-time AI applications, recommendation systems, or personalization engines.
• Knowledge of AI ethics, model interpretability, and bias mitigation.
• Familiarity with production-scale vector databases (e.g., QDrant, Pinecone, Weaviate).
• Previous experience in a startup or fast-paced environment.

Why Join Us?

• 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.

Join us in shaping the future of AI! Apply today at https://www.daxtra.com/join-daxtra/