Machine Learning Scientist

Links Partners

Chicago (IL)

On-site

USD 116,000 - 130,000

Full time

14 days+

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Job summary

A forward-thinking technology company located in Chicago is seeking a machine learning scientist to develop advanced AI applications. This full-time, in-person role entails designing and implementing new AI functionalities and working closely with stakeholders to tailor solutions. Candidates should possess an M.S. or Ph.D. in Computer Science and have a robust understanding of machine learning concepts. The position offers a dynamic work environment in a prime location downtown, a five-day work week, and access to top-tier public transportation.

Qualifications

  • 3-4 years of industry work experience required.
  • Solid understanding of core machine learning concepts, algorithms, and evaluation metrics.
  • Hands-on experience with prompt engineering for specific tasks.
  • Experience with Retrieval-Augmented Generation (RAG).
  • Understanding and implementation of continuous integration and continuous delivery practices.

Responsibilities

  • Design and implement advancements in AI and GenAI-based modules.
  • Work with internal stakeholders on creating solutions tailored to customer needs.
  • Work on scalability and performance of AI functionality.

Skills

Machine Learning
Problem-Solving
Collaboration
Time Management
Python
Prompt Engineering
Containerization with Docker

Education

M.S. or Ph.D. in Computer Science
B.S. in Computer Science

Tools

PyTorch
TensorFlow
AWS
Azure
GCP
Git
GitHub
Docker

Job description

Base pay range

$116,000.00/yr - $130,000.00/yr

Direct message the job poster from Links Partners

Reports To: Chief of Data Science and AI

Location: Chicago, IL

Job Overview

As a machine learning scientist in our clients innovative and fast-paced team, you will be building machine learning models as well as designing and developing next generation AI applications that allow legal investigators and litigation professionals to filter millions of documents down to those most important to their case.

From your seat in our beautiful new office in downtown Chicago, you will have access to many teammates to help respond to clients timely. Our office is in the heart of the loop with very convenient access to all major public transportation lines. Please be aware that we are onsite with a traditional five-day workweek schedule. This is a fully in-person role.

Responsibilities & Duties
  • Design and implement advancements in AI and GenAI-based modules.
  • Design and implement new AI and GenAI functionality.
  • Work with internal stakeholders on creating solutions tailored to the customer’s needs.
  • Work on scalability and performance of AI functionality.
Characteristics
  • Creativity and quick problem-solving abilities demonstrated in industry or academic projects.
  • Strong collaboration and team playing skills.
  • Oand time management skills to handle multiple competing demands.
Education & Experience
  • M.S. or Ph.D. in Computer Science, BS in Computer Science.
  • 3-4 years of industry work experience.
  • Solid understanding of core ML concepts, algorithms, and evaluation metrics.
  • Understanding of Large Language Models fundamentals.
  • Hands-on experience with prompt engineering for specific tasks and domains. Skills in techniques like chain-of-thought prompting and in techniques to improve LLM performance and reduce hallucinations.
  • Experience with Retrieval-Augmented Generation (RAG).
  • Proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
  • Experience with cloud services (AWS, Azure, GCP) for data storage, model training, and deployment.
  • Proficiency with Git and platforms like GitHub for code management.
  • Experience with Docker.
  • Understanding and implementation of continuous integration and continuous delivery practices.
  • Understanding of data structures, algorithms, object-oriented programming (OOP), and system design.
Seniority level

Associate

Employment type

Full-time

Job function

Information Technology

Software Development

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