Not Your Typical Senior ML Engineer Role
As an ML Engineer, you will play a key role in the challenge of developing our core product using cutting-edge technology and significantly contributing to our data-for-justice revolution. You possess extensive expertise in ML along with a solid foundation in models and infrastructure development.
there is no one way of doing things. We are open to new ideas and we encourage creativity, new initiatives and entrepreneurial minds.
Responsibilities
Apply cutting-edge solutions while leveraging our in-house legal textual database, coupled with rich metadata of various features
Develop scalable models and tools using machine learning to extract information from unstructured text
Analyze and generate insights from legal documents using ML and GEN AI
Develop MLOps infrastructure to support our ML models and pipelines.
Work alongside machine learning experts, technologists, product managers, and legal domain experts from across the organization to solve complex problems.
Masters degree or PhD in Data Science, Computer Science or Engineering
4+ years of experience as ML Engineer or Data Scientist
Strong knowledge of Python
Experience with working on a cloud environment (AWS / GCP)
Solid background in algorithms, data structures, and programming
Good understanding of probability and statistics
Team player with ability to share knowledge and insights with the team and other stakeholders
Handle tasks with full ownership from PoC to productization
Problem solver Ability to break down large problems into small incremental steps
Self-learner Ability to learn new ML concepts and technologies and apply them
A big plus:
Experience with Airflow / MLFlow / Databricks / SQL/NoSql DBs / ElasticSearch
Experience in NLP
Experience with using and integrating GEN AI pipelines.
