Machine Learning Engineer

Company: LeanDNA
Location: Austin
Posted on: April 28, 2024

Job Description:

LeanDNA is helping solve the $150B problem that global manufacturers face-excess inventory tying up critical working capital and keeping manufacturing companies from being as efficient as they need to be. Without an effective way to optimize inventory, manufacturers are buying too much, too little, or placing inventory in the wrong place at the wrong time. Companies are stuck fighting operational fires related to critical inventory shortages, creating delays in delivering their product to customers on time.LeanDNA's factory inventory optimization and shortage management solution quickly empowers supply chain professionals to dramatically reduce excess inventory, deliver on time, and establish operational command of their organization's inventory operations. LeanDNA optimizes the inventory management process by adding the much-needed (and much-appreciated) artificial intelligence into the forgotten area of the business: The factory. It's not just about smart inventory planning-true optimization occurs when procurement leaders have command over the operation, and the supply chain teams tasked with bringing those plans to life have total visibility, AI-driven recommendations, and a clear game plan for hitting their inventory goals every time.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.BenefitsComprehensive medical, dental, vision plans, and voluntary life and ADDTake time when needed with our unlimited PTO policyVoya 401kCompetitive compensation with nice equity stakesFree lunch is provided at the Austin officeQuarterly company outingsMonthly Town HallsOffice next to some of the best music, food, and drinks in SoCoIf 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.

Keywords: LeanDNA, Cedar Park , Machine Learning Engineer, Engineering , Austin, Texas