LeanDNA, Inc. HRCareers at LeanDNA, Inc.LeanDNA, Inc.2024-03-29T01:43:47Ztag:jobscore.com,2018-08-29:/a0mJcSQ7Gr6kJ_dNDWqL8oMachine Learning Engineertag:jobscore.com,2023-12-01:/dr-maWqQLgA4O8QsEBJd7e2024-03-08T20:07:36Z<h4><span>Company Overview:</span></h4><p><span>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.</span></p><h4><span>Job Responsibilities:</span></h4><ul>
<li>
<p><span>AI Integration Strategy:</span></p>
<ul>
<li><p><span>Collaborate with the Product and Engineering teams to identify opportunities for integrating machine learning and artificial intelligence into our platform.</span></p></li>
<li><p><span>Collaborate with the Product team to design a strategic roadmap for the adoption of machine learning technologies, aligning with our product vision and roadmap.</span></p></li>
</ul>
</li>
<li>
<p><span>Data Analysis and Modeling:</span></p>
<ul>
<li><p><span>Analyze existing data sets to identify patterns, trends, and insights that can inform machine learning model development.</span></p></li>
<li><p><span>Design, implement, and iterate on machine learning models to address specific business challenges and enhance product functionality.</span></p></li>
<li><p><span>Stay abreast of the latest advancements in machine learning and AI, integrating new techniques and technologies into our development process.</span></p></li>
</ul>
</li>
<li>
<p><span>Data Infrastructure:</span></p>
<ul>
<li><p><span>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.</span></p></li>
<li><p><span>Collaborate on data preprocessing and feature engineering to enhance the quality of input data for machine learning models.</span></p></li>
</ul>
</li>
<li>
<p><span>Model Deployment and Monitoring:</span></p>
<ul>
<li><p><span>Implement strategies for deploying machine learning models into production environments.</span></p></li>
<li><p><span>Establish and maintain monitoring systems to track the performance of deployed models and facilitate continuous improvement.</span></p></li>
</ul>
</li>
<li>
<p><span>Communication:</span></p>
<ul><li><p><span>Communicate findings, insights, and recommendations to both technical and non-technical stakeholders in a clear and accessible manner.</span></p></li></ul>
</li>
</ul><h4><span>Qualifications:</span></h4><ul>
<li><p><span>Master's degree in Machine Learning, Data Science, Statistics, or a field closely related to AI and ML.</span></p></li>
<li><p><span>Proven experience in developing and deploying machine learning models.</span></p></li>
<li><p><span>Proficiency in Python, and familiarity with relevant libraries and services (e.g., TensorFlow, PyTorch, Scikit-Learn, Sagemaker). Proficiency with SQL is a strong plus.</span></p></li>
<li><p><span>Strong understanding of data analytics, statistical analysis, and data visualization.</span></p></li>
<li><p><span>Experience with AWS data technologies (S3, Athena, Glue) is a plus.</span></p></li>
<li><p><span>Excellent problem-solving skills and the ability to work independently as well as collaboratively in a team.</span></p></li>
</ul><p><span>Benefits</span></p><ul>
<li><p><span>Comprehensive medical, dental, vision plans, and voluntary life and ADD</span></p></li>
<li><p><span>Take time when needed with our unlimited PTO policy</span></p></li>
<li><p><span>Voya 401k</span></p></li>
<li><p><span>Competitive compensation with nice equity stakes</span></p></li>
<li><p><span>Free lunch is provided at the Austin office</span></p></li>
<li><p><span>Quarterly company outings </span></p></li>
<li><p><span>Monthly Town Halls</span></p></li>
<li><p><span>Office next to some of the best music, food, and drinks in SoCo</span></p></li>
</ul><br><p><span>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.</span></p><br>