Company Overview:

LeanDNA is a dynamic software company that specializes 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 to solve real-world problems. As we embark on the journey to 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 the Product and Engineering teams to identify opportunities for integrating machine learning and artificial intelligence into our platform.

  • Collaborate with the Product team to design a strategic roadmap for the adoption of machine learning technologies, aligning with our product vision and roadmap.

• Data Analysis and Modeling:

  • Analyze existing data sets to identify patterns, trends, and insights that can inform machine learning model development.

  • Design, implement, and iterate on machine learning models to address specific business challenges and enhance product functionality.

  • Stay abreast of the latest advancements in machine learning and AI, integrating new techniques and technologies into our development process.

• Data Infrastructure:

  • Work closely with the Data Pipeline Engineering team to ensure a robust and scalable data infrastructure that supports the training and deployment of machine learning models.

  • Collaborate on data preprocessing and feature engineering to enhance the quality of input data 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 the performance of deployed models and facilitate continuous improvement.

• Communication:

  • Communicate findings, insights, and recommendations to both technical and non-technical stakeholders in a clear and accessible manner.

Qualifications:

• Master's degree in Machine Learning, Data Science, Statistics, or a field closely related to AI and ML.

• Proven experience in developing and deploying machine learning models.

• Proficiency in Python, and familiarity with relevant libraries and services (e.g., TensorFlow, PyTorch, Scikit-Learn, 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 as well as collaboratively in a team.

Benefits

• Comprehensive medical, dental, vision plans, and voluntary life and ADD

• Take time when needed with our unlimited PTO policy

• Voya 401k

• Competitive compensation with nice equity stakes

• Free lunch is provided at the Austin office

• Quarterly company outings

• Monthly Town Halls

• Office next to some of 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.