Senior Associate at PwC focusing on data analytics to drive insights and guide client strategies. Involves advanced techniques and collaboration on AI and GenAI solutions.
About the role
- 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
Job title
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