AI Engineer / Data Scientist

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 an AI Engineer to work closely with our AI/ML team, contributing to the development of scalable AI models and applications under the guidance of the Senior AI Manager.

Role Overview:As an AI Engineer, you will be responsible for developing, deploying, and optimizing AI models while collaborating with data scientists and software engineers. You will work with technologies such as deep learning, embeddings, vector search, and Generative AI to build robust AI-powered solutions.

Key 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.Required Qualifications: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, LlamaIndexExperience 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.Preferred Qualifications:Experience working with large-scale AI applications and personalization engines.Familiarity with production-scale vector databases (e.g., QDrant, Pinecone, Weaviate).Understanding of AI model interpretability and ethical AI considerations.Exposure to real-time AI applications and MLOps workflows.Why Join Us?Work alongside industry experts on cutting-edge AI projects.Opportunity to grow and advance in a fast-paced, innovative environment.Competitive compensation, benefits, and professional development opportunities.Flexible work environment with remote-friendly options.Join us in shaping the future of AI! Apply today at ..... full job details .....