About AI Platform Team :

Our AI/ML team is the driving force behind Eightfold's cutting-edge solutions.

We're a group of passionate experts who thrive on pushing the boundaries of applied machine learning.

We work with massive datasets, tackle complex challenges, and collaborate to create AI models that are transforming the way companies approach talent management.

What You Will Do (or Learn To Do) :

- This is a People Leadership role.

- You will lead and mentor a team of talented engineers, focusing on coaching, mentoring, and performance management to foster a high-performing team environment.

- You will own, train, build, and deploy cutting-edge deep learning models across all Eightfold products, end to end.

- You will collaborate on various ideas and ensure that a highly reliable, world-class platform exists to run ML models.

- You will help build high-performance, flexible infrastructure and services that can rapidly evolve to handle new technologies, techniques, and modeling approaches

- You will implement and operate an intuitive, easy-to-use, and flexible ML development framework.

- Build data pipelines that can generate structure from unstructured data.

- Create industry best practices for Machine Learning in Recruiting

- Own building and deploying cutting-edge deep learning models across all Eightfold products

- Do it responsibly to provide equal opportunity for everyone by extending our internal model fairness platform

- Work with various product teams to apply deep learning as relevant

What You Should Already Know :

- Strong foundation in Machine Learning (ML), Deep Learning, and NLP

- Hands-on experience in applying Natural Language Processing solutions to challenging real-world problems.

- Ability to work cross-functionally & interface with data science experts across the Eightfold customer base

- Familiar with Language models, transformers like BERT, GPT-3, T-5 etc.

- BS or MS or PhD degree in Computer Science, Data Science or Mathematics

- Exceptionally 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.

- Prior experience building and deploying machine learning models in production at scale

- 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.

- Extensive experience with scientific libraries in Python (numpy, pandas) and machine learning tools and frameworks (scikit-learn, tensorflow, torch, etc.

- Experience of implementing production machine learning systems, working with large scale datasets and solid understanding of machine learning theory.

- Metrics-focused and passionate about delivering high quality models.

- Experience with analyzing large data sets, using Hadoop, Spark

Nice To Have :

- Experience with real-time technology problems

- Familiar with Pandas / 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

- Familiarity with MLOps tools and pipelines (MLflow, Metaflow).

Join Us and Shape the Future of AI: