Machine Learning Engineer

AppZen is the leader in Finance AI software built to deliver autonomous processing for modern finance teams. Our patented artificial intelligence software uses deep learning, semantic analysis, and computer vision to accurately and efficiently process intelligence from thousands of data sources, documents, and images so that organizations can better understand financial transactions and make smarter business decisions. Over 1,000 global enterprises, including one-third of the Fortune 500, use AppZen’s Expense Audit and Autonomous AP products to replace manual finance processes and accelerate the speed and agility of their business. Visit us at www.appzen.com and follow us on LinkedIn.
We are looking for a Machine Learning Software Engineer to come and work on our growing AI stack. You will be working with a team of highly skilled and motivated machine learning engineers and data scientists. If you are excited about building Machine Learning models and pipelines for practical applications AppZen is the right place for you to apply and grow your skills.

Must Haves :

• Solid understanding of machine learning fundamentals, and familiar with standard algorithms and techniques
• Strong ability to translate problems to algorithms, then to code in Object Oriented Design Python
• Building Scalable machine learning algorithms and pipelines interacting with Big Data.
• Ability to build feature engineering pipelines in a distributed framework such as Kubernetes, Spark, Argo CD or similar.
• Must demonstrate independence in code design, integration in the system and figure-it- out mindset.
• Understanding of various deep learning architectures, CNN/Sequence Models is a plus.
• Manage your own process: identify and execute on high impact projects and make sure you bring projects to conclusion in time for the results to be useful
• Communicate proposals and results in a clear manner backed by data and coupled with actionable conclusions to drive business decisions
• B.E. or B.Tech  in Computer Science, Engineering, or other relevant technical field.
• Must have 1+ years of industry experience
• You are a team player

We are equal opportunity employer and value diversity. All employment is decided on the basis of qualifications, merit and business need.