AI Machine Learning Engineer - Data Annotation

• Bachelor's Degree in Computer Science or related field or equivalent experience.
• Expertise as a Machine Learning Engineer or a similar role, with a consistent record of successfully delivering ML solutions.
• Strong programming skills in languages such as Python. Experience with frameworks like TensorFlow, PyTorch, or scikit-learn.
• Proficiency in data manipulation, analysis, and visualization using tools like NumPy, pandas, and matplotlib.
• Deep understanding of machine learning algorithms, statistical models, and data structures.
• Familiarity with software development practices and version control systems (e.g., Git).
• Ability to run with experimental design, A/B testing, and evaluation metrics for ML models. * Experience in data annotation platforms, synthetic data generation techniques and excellent data analysis skills.
• First-hand experience deploying and maintaining deep learning systems and services in production at scale.
• Demonstrated skills with large language models, natural language processing and multi-modal models.

Insight Global is looking for an AI Machine Learning Engineer within Data Annotation to work with one of our tech clients in the Bay Area. This person will: work alongside NVIDIA's data annotation platform team, dedicated to addressing our evolving annotation data needs for training and evaluating LLMs. We value expertise in data science paired with a robust data engineering foundation. Together, we'll architect data pipelines, delve into advanced data analysis, and craft models using ML/AI. We seek someone proficient in programming and scripting for comprehensive data manipulation, analysis, and model creation. If you share a passion for innovation and creating exceptional experiences through the integration and management of large data sets, then you're the one we've been searching for! This role can pay between $65-100/hour depending on years of experience and skillset.