1 month ago

Senior AI/ML Systems Engineer

Deel

Remote
Full Time
$180,000
Remote
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Job Overview

Job TitleSenior AI/ML Systems Engineer
Job TypeFull Time
Offered Salary$180,000
LocationRemote

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Job Description

About Deel

Deel is the all-in-one payroll and HR platform for global teams. Our vision is to unlock global opportunity for every person, team, and business. Built for the way the world works today, Deel combines HRIS, payroll, compliance, benefits, performance, and equipment management into one seamless platform. With AI-powered tools and a fully owned payroll infrastructure, Deel supports every worker type in 150+ countries—helping businesses scale smarter, faster, and more compliantly.

Among the largest globally distributed companies in the world, our team of 7,000 spans more than 100 countries, speaks 74 languages, and brings a connected and dynamic culture that drives continuous learning and innovation for our customers.

Why join Deel?

As the fastest-growing Software as a Service (SaaS) company in history, Deel is transforming how global talent connects with world-class companies – breaking down borders that have traditionally limited both hiring and career opportunities. We're not just building software; we're creating the infrastructure for the future of work, enabling a more diverse and inclusive global economy. In 2024 alone, we paid $11.2 billion to workers in nearly 100 currencies and provided healthcare and benefits to workers in 109 countries—ensuring people get paid and protected, no matter where they are.

Our momentum is reflected in our achievements and customer satisfaction: CNBC Disruptor 50, Forbes Cloud 100, Deloitte Fast 500, and repeated recognition on Y Combinator’s top companies list – all while maintaining a 4.83 average rating from 15,000 reviews across G2, Trustpilot, Captera, Apple and Google.

Your experience at Deel will be a career accelerator. At the forefront of the global work revolution, you'll tackle complex challenges that impact millions of people's working lives. With our momentum—backed by a $17.3 billion valuation and $1 B in Annual Recurring Revenue (ARR) in just over five years—you'll drive meaningful impact while building expertise that makes you a sought-after leader in the transformation of global work.

Summary of the Senior AI/ML Systems Engineer Role

The Senior AI/ML Systems Engineer will contribute to the design, development, and deployment of machine learning solutions that support product and business goals. This role works closely with engineering, product, data science, and business partners throughout the software development lifecycle, reporting to an engineering or technical lead.

Key Responsibilities

  • Collaborate with cross-functional teams including Engineering, Product, Data Science, and Business stakeholders.
  • Participate in product development activities from discovery and design through implementation and deployment.
  • Implement, test, and maintain machine learning models and data-driven features in production environments.
  • Contribute to improving existing machine learning systems, pipelines, and workflows.
  • Assist in identifying, debugging, and resolving issues related to data, models, or backend services.
  • Help ensure reliable, high-quality user experiences through well-tested and maintainable solutions.

Qualifications

  • Bachelor’s degree in Computer Science, Electrical Engineering, or a related field.
  • Proficiency in Python and SQL, along with familiarity with common data science and machine learning libraries.
  • At least 3 years of experience in data or backend engineering within production environments.
  • Hands-on experience implementing machine learning algorithms in Python, particularly in areas such as information retrieval, text processing, NLP, or applied machine learning.
  • Strong written and verbal communication skills, with the ability to explain technical concepts clearly and collaborate effectively with diverse teams.

Total Rewards & Perks

Our workforce deserves fair and competitive pay that meets them where they are. With scalable benefits, rewards, and perks, our total rewards programs reflect our commitment to inclusivity and access for all.

  • Stock grant opportunities dependent on your role, employment status and location.
  • Additional perks and benefits based on your employment status and country.
  • The flexibility of remote work, including optional WeWork access.

Deel is an equal-opportunity employer that values diversity and cultivates a diverse and inclusive workplace. Accommodations are available upon request during the recruitment process.

Key skills/competency

  • Python
  • SQL
  • Machine Learning
  • Natural Language Processing (NLP)
  • Information Retrieval
  • Data Engineering
  • Production Systems
  • Model Deployment
  • System Design
  • Cross-functional Collaboration

Tags:

Senior AI/ML Systems Engineer
machine learning
AI
development
deployment
data engineering
NLP
information retrieval
model maintenance
system improvement
cross-functional collaboration
Python
SQL
machine learning libraries
data science libraries
production environments
backend services
cloud computing
MLOps
data pipelines
software development lifecycle

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How to Get Hired at Deel

  • Research Deel's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor to understand their global, fast-paced environment.
  • Tailor your resume for AI/ML Systems Engineer: Highlight proficiency in Python, SQL, data/backend engineering, and specific machine learning experience relevant to production environments.
  • Showcase AI/ML project expertise: Detail your hands-on experience implementing algorithms in areas like information retrieval, text processing, or NLP, demonstrating practical application.
  • Prepare for technical interviews: Expect deep dives into machine learning algorithms, system design for ML solutions, data structures, and problem-solving with Python and SQL.
  • Emphasize communication and collaboration: Deel values effective teamwork in a globally distributed setting, so be ready to discuss cross-functional collaboration experiences.

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