Machine Learning Engineer
@ Jobgether

Hybrid
$150,000
Hybrid
Full Time
Posted 8 hours ago

Your Application Journey

Personalized Resume
Apply
Email Hiring Manager
Interview

Email Hiring Manager

XXXXXXXXX XXXXXXXXXXX XXXXXXXX****** @jobgether.com
Recommended after applying

Job Details

Job Overview

Jobgether is recruiting a Machine Learning Engineer for a partner company. This role focuses on developing and deploying advanced AI solutions to transform the processing of complex financial and tax documents.

Key Responsibilities

  • Develop and optimize machine learning models for parsing and categorizing financial and tax documents.
  • Collaborate with software, product, and data teams to integrate ML solutions into production systems.
  • Conduct statistical analyses to uncover patterns and insights that drive business improvement.
  • Lead end-to-end ML projects from data acquisition to model deployment and monitoring.
  • Mentor junior data scientists and engineers in a collaborative, innovative environment.
  • Stay updated with advances in NLP, NLU, and ML technologies and apply best practices.

Qualifications

  • Master’s or PhD in Computer Science, Mathematics, Statistics, Data Science, or related field (or equivalent experience).
  • 6+ years experience in data science or machine learning with emphasis on NLP/NLU projects.
  • Proven experience leading end-to-end data science projects.
  • Expertise in Python and ML frameworks such as scikit-learn, PyTorch, spaCy, and Huggingface.
  • Strong problem-solving skills and ability to communicate technical results effectively.
  • Preferred: Experience with NLP on financial documents, knowledge of investment accounting, and deploying ML models using containerization/orchestration.

Benefits & Perks

  • Unlimited Vacation Policy, Sick Time, and Holidays.
  • Paid Parental Leave and Comprehensive Healthcare Benefits.
  • 401(k) Retirement Plan.
  • Fully Remote Work Opportunity with a collaborative startup culture.

Application Process

The application process is AI-powered and skills-based. Your CV and LinkedIn profile will be analyzed for a match score and if shortlisted, your profile is reviewed by both automated systems and a human team before final decision by the hiring company.

Key skills/competency

Machine Learning, NLP, Python, Data Science, Financial Documents, Model Deployment, Statistical Analysis, Mentoring, Collaboration, AI

Apply without a personalized resume

How to Get Hired at Jobgether

🎯 Tips for Getting Hired

  • Customize your resume: Tailor skills to match ML and NLP projects.
  • Research Jobgether: Understand company culture and platform.
  • Highlight real projects: Emphasize end-to-end project experience.
  • Prepare for technical interviews: Brush up on Python and ML frameworks.
  • Follow up: Engage with hiring managers via email.

📝 Interview Preparation Advice

Technical Preparation

Review Python and ML frameworks usage.
Practice coding algorithms for NLP tasks.
Study ML model deployment methods.
Refine statistical analysis techniques.

Behavioral Questions

Describe project collaboration experience.
Explain how you mentor junior colleagues.
Discuss time management in remote settings.
Share examples of solving complex problems.

Frequently Asked Questions