ML Engineer Middle/Senior Level

The Problem

Companies spend a staggering $250 billion annually on litigation (in the US alone!). Yet, crucial decisions like "settle or litigate?" are made with outdated methods.

Our Solution

We're applying cutting-edge AI, Machine Learning, and Natural Language Processing (NLP) to provide companies with the insights they need to make smarter legal decisions.

What will need to do:

Build and implement machine learning algorithms.
Develop and implement machine learning models in production.
Compare multiple approaches to solve a business problem.
Participate in communications with customers to identify business problems and opportunities to solve them using machine learning tools.
Develop algorithms for recommendation/ranking systems.

Our expectations:

2+ years of experience in startups/service companies.
Strong mathematical background.
Knowledge of basic ML algorithms and metrics.
Experience in bringing ML models to production and evaluating the business impact of implementation.
Proficient in developing and customizing machine learning models for various tasks, including classification, regression, clustering, and more.
Experience working towards NLP.
Proven ability to conduct client negotiations and actively identify their needs and goals.
Experience in regularly conducting demos for clients, explaining technical aspects and achievements in an accessible manner.
Expertise in gathering and analyzing requirements, transforming business tasks into technical specifications.
A track record of establishing clear and achievable goals for machine learning tasks/projects.
Experience working with big data and systems for its processing.
Expertise in utilizing data analysis techniques to uncover insights and patterns that can aid in solving business problems.
Experience with large language models for named entity parsing and unstructured information processing.
B2 English level.

It will be a plus:

Experience in application of hyperparameter optimization techniques to improve model performance.
Experience in monitoring production models and implementing processes for automatic model correction based on new data.
Experience with classic ML and DL (training projects/competitions).
Experience with Databrix.
Experience with Code Review.

Requirements:

Python
SQL, PostgreSQL
Spark (basic level of knowledge)
Pandas
FastAPI
Sklearn
PyTorch, Transformers
Git, BitBucket, CI / CD, conflict resolution
Docker
OpenAI API

What do we offer:

Make a real impact on how companies navigate legal challenges.
Help organizations save billions with data-driven legal decisions.
Be part of a cutting-edge project that uses AI to revolutionize the legal industry.
Flexible working hours.
Remote-first culture.
Onsite business trips.