Machine Learning Engineer
Company: Leandna
Location: Austin
Posted on: April 28, 2024
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Job Description:
LeanDNA is helping solve the $150B problem that global
manufacturers faceexcess 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 organizations 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. Its not just about
smart inventory planningtrue 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.by
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Keywords: Leandna, Austin , Machine Learning Engineer, Engineering , Austin, Texas
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