Summary 🤖

We are seeking an innovative AI/ML Engineer to own the definition, scaling and expansion of AI/ML solutions at Redpine.ai. Our mission is to be the leading global marketplace for trusted AI data. In this role, you will be instrumental in developing and implementing machine learning solutions that power our platform, enabling organizations to efficiently source, validate, and manage high-quality training data for their AI models.

At Redpine.ai, we're rethinking how AI builders access and utilize multi modal data for their services and applications. You will be among the first key employees building sophisticated algorithms for data quality assessment, automated validation and evaluation systems, and intelligent data matching solutions.

We are looking for a “founders mindset” of holistic problem solving, and that you are comfortable with taking proactive action paired with lots of freedom/responsibility.

Our Culture

Redpine.ai was founded in 2024, and we are passionate about shaping the future of artificial intelligence into something that benefits mankind long term. We embrace a culture of curiosity, speed, innovation and technical excellence. We believe in continuous learning, experimentation, and pushing the boundaries of what's possible in AI technology.

Your Responsibilities

• Design and implement machine learning models for data quality assessment and validation
• Develop algorithms for automated data labeling and annotation verification
• Create and maintain data processing pipelines for various AI training data types
• Develop and optimize matching algorithms between data providers and buyers
• Implement scalable solutions for processing and analyzing large datasets
• Collaborate with the product team to develop new features for the marketplace platform
• Research and implement state-of-the-art ML techniques for data quality improvement
• Work with customers and stakeholders to understand and implement data requirements for various AI use cases

Your Qualifications

• Master's or Ph.D. in Computer Science, Machine Learning or similar
• Strong experience in developing, training and deploying AI / Machine Learning models
• Proficiency in Python and ML frameworks (PyTorch, R, Scala, Huggingface)
• Knowledge of model deployment techniques and serving frameworks like TensorFlow Serving, TorchServe, or custom APIs