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Machine Learning Engineer

2 months ago


New York, New York, United States Sixfold Full time
About Sixfold

Sixfold is a cutting-edge technology company that empowers businesses to harness the power of AI-driven decision-making. Our innovative AI solutions handle the heavy lifting, allowing professionals to focus on high-value tasks. We're revolutionizing the insurance industry by providing a world-class AI platform that streamlines underwriting processes, enhances accuracy, and boosts efficiency.

Job Summary

We're seeking a highly skilled Machine Learning Engineer to join our team. As a key member of our engineering team, you will collaborate with product managers and software engineers to develop data-driven solutions that drive business growth. Your expertise in machine learning, data preprocessing, and model optimization will be instrumental in building and deploying AI models that transform the insurance industry.

Key Responsibilities
  • Collaborate with cross-functional teams to understand business requirements and develop data-driven solutions that drive business growth.
  • Preprocess and clean raw data to ensure quality, consistency, and reliability for analysis and modeling purposes.
  • Optimize and fine-tune machine learning models by selecting appropriate algorithms, features, and hyperparameters.
  • Validate and assess model performance to ensure accuracy and reliability.
  • Design and implement end-to-end machine learning pipelines, from data ingestion to model deployment and monitoring.
  • Collaborate with platform teams to automate model deployment, scaling, and management processes.
Requirements
  • 3+ years of professional experience as a data scientist, machine learning engineer, or in a similar role.
  • Experience with classical NLP algorithms and transformer-based models.
  • Hands-on experience with large language models (LLMs) and the Huggingface ecosystem.
  • Experience with cloud platforms (e.g., AWS, Azure).
  • Strong shell scripting skills.