Company Description Artizence, established in 2022, is an AI and software development company at the forefront of innovation in Agentic AI, large language model (LLM) fine-tuning, and custom AI solutions. Our team specializes in developing advanced systems across machine learning, deep learning, computer vision, and natural language processing (NLP). We create scalable, intelligent platforms and applications that transform businesses through automation and AI. Role: Senior Machine Learning Engineer (Contract-Based) Type: Contract (Remote/Hybrid) Location: San Francisco (Preferred) – Remote candidates from the Bay Area also considered We are looking for an experienced Senior Machine Learning Engineer for a contract-based role focused on building and deploying AI/ML systems using custom datasets. The ideal candidate will have experience in data labeling workflows, training and fine-tuning models, and leading small technical teams. You’ll work closely with cross-functional teams to integrate ML capabilities into real-world applications. Key Responsibilities • Design, develop, and deploy machine learning models tailored to specific business problems. • Work extensively with custom datasets, including preprocessing, annotation workflows, and data validation. • Lead model training and fine-tuning using modern frameworks and techniques. • Manage and mentor small technical teams, ensuring timely and high-quality delivery. • Collaborate with product, design, and engineering teams to deploy models into production. • Conduct performance evaluations, testing, and optimization of models for scalability and accuracy. Qualifications • Proven expertise in machine learning, deep learning, and neural networks. • Strong understanding of data pipelines, dataset curation, and labeling strategies. • Proficient in Python and familiar with PyTorch, TensorFlow, Scikit-learn, or related libraries. • Experience fine-tuning models (LLMs or CV/NLP models) on domain-specific/custom datasets. • Solid foundation in algorithms, statistics, and software engineering principles. • Experience in team leadership, project coordination, and cross-functional collaboration. • Prior experience deploying models in production environments is a plus. • Based in or around San Francisco, with availability for hybrid or remote collaboration. Nice to Have • Experience with LLM fine-tuning (e.g., LoRA, PEFT, RLHF) • Familiarity with MLOps, vector databases, or retrieval-augmented generation (RAG) • Exposure to agent-based systems and LLM application stacks Contract Details • Engagement: Project-based with flexible hours • Duration: Initial contract term of 3–6 months (extension based on performance and project needs) • Compensation: Competitive, based on experience and scope