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.