Job Description

About the AI/ ML Team

The AI / Machine Learning team is building the industry's leading Machine Learning models for use cases at scale. This team is also responsible for pushing the boundaries of applied Machine Learning on a challenging and diverse dataset. 

What you will do (learn to do)

You will own, train, build and deploy cutting edge models across all Eightfold products, end to end- in production
Create innovative algorithms for Machine Learning & AI
Create industry best practices for Machine Learning in Recruiting and HR
Do it responsibly to provide equal opportunity for everyone by extending our internal model fairness platform
Create innovative algorithms for Machine Learning & AI
Analyze data to identify actionable insights and optimize deployment results
Develop AI-based systems for Natural Language Processing (NLP)
Implement best practices for building AI-enabled products
Utilize Python programming language to web scrape and develop databases
Optimize Machine Learning models for time efficiency, performance, cost, scalability, and accuracy
Utilize state-of-the-art techniques such as AutoML and transfer learning
Develop tools and processes for automatically extracting information from text using Bert

What you bring

Good foundation in Machine Learning (ML), Deep Learning, and NLP
Hands-on experience in applying Natural Language Processing (NLP) solutions is a plus.
Ability to work cross functionally & interface with data science experts
Familiar with Language models, transformers like BERT, GPT-3, T-5 etc.
Strong knowledge of CS fundamental concepts and ML languages ( like Python, C, C++, Java, JavaScript, R, and Scala, etc. )
Ability to innovate, as proven by a track record of software artifacts or academic publications in applied machine learning.
Understanding of data and/or ML systems with ability to think across layers of the stack - REST APIs, microservices, data ingestion and processing systems, and distributed systems.

Nice To Haves

Experience with scientific libraries in Python (numba, pandas) and machine learning tools and frameworks (scikit-learn, tensorflow, torch, etc.).
Experience of implementing production machine learning systems, working with large scale datasets is a plus
Solid understanding of machine learning theory
Metrics-focused and passionate about delivering high quality models.
Familiar with Pandas or Python machine learning libraries
Familiar with Spark, MLLib, Databricks MLFlow, Apache Airflow and similar related technologies.
Familiar with a cloud based environment such as AWS
Experience with analyzing large data sets, using Hadoop, Spark or related technologies is a plus.