Staff Machine Learning Engineer - AI Platform

PhantomBuster is a web automation and data extraction SaaS that allows businesses to grow faster. The company is looking for a Staff Machine Learning Engineer to support the development of Phantom Intelligence, the platform that powers its product's AI capabilities. The ideal candidate will have experience working with LLMs, Agents for Amazon Bedrock AgentCore, and cloud platforms for model training and deployment.

Requirements

• 5+ years of experience as a Data Scientist or Machine Learning Engineer
• Experience working with LLMs (e.g., prompt engineering, fine-tuning, retrieval-augmented generation)
• Experience working with Agents for Amazon Bedrock AgentCore or similar agent setups
• Strong understanding of machine learning algorithms, statistical methods, and data preprocessing techniques
• Experience with cloud platforms for model training and deployment, especially AWS
• Proficiency in Python, including experience with libraries such as LangChain, Scikit-Learn, NumPy, Pandas, and PyTorch/TensorFlow
• Proficiency in SQL and experience working with data warehouses (e.g., Snowflake, GCP)
• Knowledge of MLOps best practices, including CI/CD pipelines, model monitoring, and versioning (e.g., MLflow, Airflow)
• Experience deploying models to production and supporting them post-deployment
• Fluency in English

Benefits

• Fully remote working environment
• Collaborative and open-minded culture
• Freedom to make an impact at a small, self-funded, and profitable tech startup