Sezzle•12.03.26

AI SCORE 8.5 / 10

AI Engineer II - Remote Position

$120K–$140K/year

Python•Machine Learning•NLP•Data Analysis•AI Algorithms•Cloud Development

About the Role

We are seeking an experienced AI Engineer II - Remote to join our dynamic team. In this role, you will leverage your expertise in AI technologies to develop innovative solutions that enhance our products and services. As an AI Engineer, you will collaborate with cross-functional teams to drive impactful projects and contribute to the evolution of our AI capabilities.

What You'll Do

Design and implement AI models and algorithms to solve complex problems.
Work with machine learning frameworks and tools to develop scalable AI solutions.
Collaborate with software engineers to integrate AI functionalities into existing systems.
Conduct data analysis and model evaluation to ensure optimal performance.
Participate in code reviews and contribute to best practices in AI development.

Requirements

3+ years of experience as an AI Engineer or in a related field.
Proficiency in Python and experience with machine learning libraries (e.g., TensorFlow, PyTorch).
Strong understanding of NLP, data analysis, and algorithm development.
Experience with cloud-native development and deployment.
Excellent problem-solving skills and ability to communicate complex concepts clearly.

Nice to Have

Experience with Golang and SQL.
Familiarity with MLOps practices.
Knowledge of fraud detection systems.

What We Offer

Competitive salary ranging from $120,000 to $140,000 per year.
Flexible remote work environment.
Opportunities for professional growth and increased ownership of projects.
Collaborative culture with talented professionals.
Contribute to innovative and impactful projects.

Why This Job8.5 of 10

This AI Engineer II - Remote position offers a competitive salary and the opportunity to work on innovative AI solutions in a collaborative environment.

Salary Range

Required

0/1

Optional

0/1

Bonus

0/1

Who Will Succeed Here

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Proficiency in Python and experience with machine learning frameworks such as TensorFlow or PyTorch, enabling the candidate to effectively design and implement AI models.

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Strong analytical mindset with hands-on experience in data analysis techniques and natural language processing (NLP) to derive insights and enhance AI capabilities.

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Self-motivated and disciplined, thriving in a remote work environment by managing time effectively and collaborating asynchronously with cross-functional teams.

Learning Resources

→Python for Data Science Handbookguide

→Machine Learning with Python - Courseracourse

→Natural Language Processing with Python - NLTK Documentationarticle

Career Path

AI Engineer II - Remote Position(Now)→AI Engineer III / Senior AI Engineer(1-2 years)→Lead AI Engineer / AI Architect(3-5 years)

Market Overview

Market Size 2024

$30B

Annual Growth

22.5%

AI Adoption

60%

Investment

+45%

Labour Demand

+35%

Avg Salary

$120K

Skills & Requirements

Required

PythonMachine LearningNLP

Growing in Demand

TensorFlowPyTorchCloud ML Services (AWS SageMaker, Google AI Platform)

Declining

Scikit-learnWeka

Domain Trends

Increased Focus on Explainable AI

With 70% of organizations prioritizing transparency in AI models, there is a growing demand for AI Engineers who can implement explainable AI techniques.

Integration of AI with Edge Computing

The market for edge AI is expected to grow by 35% annually, driven by the need for real-time data processing in IoT devices.

Rise of Automated Machine Learning (AutoML)

AutoML adoption has surged by 50% in the past year, allowing non-experts to build machine learning models, which is reshaping the skill requirements for AI Engineers.

Industry News

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