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Senior Data Scientist

3 months ago

Bengaluru, Karnataka, India Consilio LLC Full time
Overview

The

Senior Data Scientist


in the Research & Rapid Prototyping team will play a pivotal role in enhancing our eDiscovery solutions through the development, optimization, and implementation of Large Language Models (LLMs) and other advanced technologies.

This role is crucial for maintaining our competitive edge in legal tech by continually improving our offerings with state-of-the-art models tailored to the nuances of enterprise documents and legal language.

Responsibilities

LLM Specialization:
Take the lead in implementing and fine-tuning Large Language Models for use in eDiscovery, focusing on enhancing their applicability and efficiency in processing and analyzing legal documents, such as emails and PDFs

Benchmark Creation:
Develop benchmarks to evaluate the performance of models and solutions, ensuring they meet high standards of accuracy and utility in legal-specific tasks

Statistical Analysis & NLP:
Employ statistical analysis and traditional Natural Language Processing (NLP) techniques to extract insights and improve the understanding of enterprise and legal documents

Independent Research:
Design and conduct experiments to test state-of-the-art (SOTA) models for domain-specific tasks, working independently to advance the team's goals

Rapid Prototyping:
Quickly prototype new ideas and solutions to demonstrate how emerging technologies can be used in practice, demonstrating the ability to adapt and innovate in response to emerging technologies and methodologies

Multi-modal and Graph DBs:
(Nice to have) Work with multi-modal data (images, audio etc) and explore the integration of Knowledge Graphs, Graph Neural Networks (GNNs) and other emerging technologies to enrich our solutions.

Qualifications

Modern NLP Experience:
Solid background in working with LLMs, statistical analysis, traditional NLP, and handling enterprise documents, particularly legal documents

Communication:
Excellent verbal and written communication abilities, with a knack for asking insightful questions, openly admitting knowledge gaps, and effectively collaborating with team members

Multi-Disciplinary Collaboration:
Ability to work closely with multi-disciplinary professionals, both within and outside the Research & Rapid Prototyping team, to complete projects and achieve goals

Self-Starter:
Demonstrated ability to initiate projects, "have a go," and navigate through ambiguity with minimal guidance

Learning Agility:
Eagerness to learn about the legal domain to better understand the data and its complexities

Experimental Mindset:
Comfortable with trial and error, willing to admit and learn from failures, and not shy away from trying new approach

Technical Expertise:

Knowledge of cloud platforms such as GCP, AWS, or Azure for model deployment and infrastructure managementStrong background in machine learning, statistics, and probability theory, with practical experience in data analysis, modeling, and optimization.

Proficiency in Python, R, and SQL for data manipulation and analysisProven ability to design, develop and implement machine learning models (classification, regression,Strong foundation in statistical analysis and modeling techniquesExpertise in data wrangling, cleaning, and analysis.
Nice-to-Have:Experience in co-authoring academic papers, showcasing the ability to contribute to the broader research community.
Multi-modal experience and familiarity with Knowledge Graphs, Graph DBs, and GNNs.
Experience working with multi-GPU clusters and high-performance computing systems.
Consilio's True North ValuesExcellenceWe strive to make every client our advocatePassionWe DO because we CARECollaborationWe win together through teamwork and communicationAgilityWe flex, adapt and embrace changePeopleWe value, respect and invest in our teammatesVisionWe create clarity of purpose and a clear path forwardConsilio, LLC is

an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender i

dentity, national origin, protected veteran status, disability or any other legally protected status.