Machine Learning Engineer

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Join Our Team as a Machine Learning Engineer at LeanDNA

Company Overview

LeanDNA is a dynamic software company specializing in supply chain optimization for manufacturing companies. With a strong foundation in data analytics, we are committed to leveraging cutting-edge technologies to enhance our solutions and solve real-world problems. As we integrate artificial intelligence into our products, we are seeking a talented and motivated Machine Learning Engineer to join our team and spearhead our AI-based solutions.

Job Responsibilities

  • AI Integration Strategy:
    • Collaborate with Product and Engineering teams to identify opportunities for integrating machine learning and artificial intelligence into our platform.
    • Design a strategic roadmap for the adoption of machine learning technologies, aligning with our product vision.
  • Data Analysis and Modeling:
    • Analyze existing data sets to identify patterns and insights that can inform machine learning model development.
    • Design, implement, and iterate on machine learning models to address business challenges and enhance product functionality.
    • Stay updated on the latest advancements in machine learning and AI, integrating new techniques into our development process.
  • Data Infrastructure:
    • Work with the Data Pipeline Engineering team to ensure a robust and scalable data infrastructure for training and deploying models.
    • Collaborate on data preprocessing and feature engineering to enhance input data quality for machine learning models.
  • Model Deployment and Monitoring:
    • Implement strategies for deploying machine learning models into production environments.
    • Establish and maintain monitoring systems to track model performance and facilitate continuous improvement.
  • Communication:
    • Communicate findings, insights, and recommendations to technical and non-technical stakeholders in a clear and accessible manner.

Qualifications

  • Master's degree in Machine Learning, Data Science, Statistics, or a related field.
  • Proven experience in developing and deploying machine learning models.
  • Proficiency in Python and familiarity with libraries like TensorFlow, PyTorch, Scikit-Learn, and services like Sagemaker. Proficiency with SQL is a strong plus.
  • Strong understanding of data analytics, statistical analysis, and data visualization.
  • Experience with AWS data technologies (S3, Athena, Glue) is a plus.
  • Excellent problem-solving skills and the ability to work independently and collaboratively in a team.

Benefits

  • Comprehensive medical, dental, and vision plans, with voluntary life and ADD.
  • Unlimited PTO policy for work-life balance.
  • Voya 401k.
  • Competitive compensation with attractive equity stakes.
  • Free lunch at our Austin office.
  • Quarterly company outings.
  • Monthly Town Halls.
  • Office located next to the best music, food, and drinks in SoCo.

If you are passionate about machine learning, eager to make a significant impact in a growing company, and excited about the opportunity to shape the future of our products, we would love to hear from you. Apply now to be part of a team that values innovation, collaboration, and excellence.