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Dexian

AI/ML Engineer

Dexian, Charlotte, North Carolina, United States, 28245

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$65.00/hr - $85.00/hr Direct message the job poster from Dexian US Technical IT Consultant at Dexian & Data Scientist| Technical Talent Acquisition Expert | Tutoring Data |Data Science Certified ||National

We are seeking a highly skilled and motivated AI/ML Engineer with a strong software development background and hands-on experience in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and modern ML pipelines. You will play a key role in designing, developing, and deploying AI-driven solutions that push the boundaries of what's possible in real-world applications. Responsibilities

Design, develop, and deploy AI/ML solutions, focusing on LLMs and generative models for NLP and multimodal tasks. Implement Retrieval-Augmented Generation (RAG) systems by integrating vector databases, embedding models, and scalable retrieval pipelines. Fine-tune and optimize foundation models (e.g., GPT, LLaMA, Mistral, Claude) for custom enterprise use cases. Build end-to-end ML pipelines including data preprocessing, model training, evaluation, and deployment using tools like MLflow, Airflow, or Kubeflow. Collaborate with cross-functional teams including product managers, data scientists, and backend engineers to integrate AI models into production systems. Monitor, test, and continuously improve deployed AI models for performance, accuracy, fairness, and interpretability. Stay current with the latest research and advancements in AI/ML, Generative AI, and open-source LLMs. Required Qualifications

Bachelors or Masters degree in Computer Science, Machine Learning, AI, or a related field. 3+ years of software development experience in Python, Java, or other major languages, with strong understanding of system design and APIs. Proven experience in developing and deploying ML/AI solutions, particularly in the domain of Generative AI, LLMs, Transformers, and RAG systems. Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LlamaIndex, etc. Strong understanding of vector search technologies (e.g., FAISS, Pinecone, Weaviate, Qdrant) and embeddings. Familiarity with cloud platforms (AWS, Azure, GCP) and containerized environments (Docker, Kubernetes). Nice to Have

Experience with multi-modal models (e.g., text-to-image, audio-to-text). Understanding of MLOps best practices, CI/CD for ML systems. Exposure to privacy, safety, bias mitigation, and ethical AI concerns. Contributions to open-source AI/ML projects or published research. Soft Skills

Strong analytical and problem-solving skills. Ability to communicate complex technical concepts to non-technical stakeholders. Collaborative mindset and eagerness to learn and share knowledge. What We Offer

Opportunity to work on cutting-edge AI/ML projects in a high-impact environment. Access to state-of-the-art tools and infrastructure. Competitive compensation and benefits. A collaborative and inclusive culture focused on innovation. Seniority level

Mid-Senior level Employment type

Contract Job function

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