AI Engineer developing scalable AI models and applications at Daxtra. Collaborating with AI/ML team to implement robust AI-powered solutions.
Responsibilities
Develop and optimize AI/ML models with a focus on Generative AI, embeddings, and vector search.
Implement deep learning models using frameworks like TensorFlow, PyTorch, or JAX.
Collaborate with data scientists to integrate AI models into production systems.
Maintain and enhance AI pipelines, ensuring efficiency and scalability.
Conduct research on the latest AI advancements and implement innovative solutions.
Assist in fine-tuning large language models (LLMs) and retrieval-augmented generation (RAG) systems.
Optimize model performance and work on deployment strategies using cloud-based AI solutions.
Support MLOps best practices to streamline AI development workflows.
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.
Requirements
Bachelor’s or Master’s degree in Computer Science, AI, Data Science, or a related field
3+ years of experience in AI/ML development
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 embeddings, vector databases, and deep learning models
Hands-on experience with cloud AI services (AWS, GCP, Azure) and developing microservices using FastAPI, Flask, or Django, with expertise in containerized deployment (Docker)
Knowledge of software engineering principles and best practices for AI integration
Strong problem-solving skills and ability to work in a team environment.
Benefits
Competitive compensation, benefits, and professional development opportunities
Flexible work environment with remote-friendly options
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