Sezzle is hiring for the position of AI Engineer I with a fully remote work setup. This opportunity is open to graduates from the 2021, 2022, 2023, 2024, and 2025 batches and is ideal for candidates looking to build a strong career in artificial intelligence, machine learning, and software engineering. As a fast-growing fintech company operating in the digital payments space, Sezzle leverages technology and data-driven systems to improve financial access and user experience. This role provides early-career professionals with hands-on exposure to production-grade AI systems and scalable technology solutions.
Role Overview – AI Engineer I
- Position: AI Engineer I
- Company: Sezzle
- Location: Remote
- Experience Level: Freshers / Early Career (2021–2025 Graduates)
- Qualification: Bachelor’s or Master’s Degree in Computer Science, Engineering, AI/ML, Data Science, or related field
- Employment Type: Full-Time
- Domain: Artificial Intelligence / Machine Learning / Software Development
The AI Engineer I role is structured to provide foundational exposure to real-world AI applications within a high-impact product environment.
Purpose of the Role
The primary purpose of the AI Engineer I position is to design, develop, test, and deploy intelligent systems that enhance product capabilities and business decision-making. The role focuses on applying machine learning models to solve real-world problems such as automation, risk modeling, personalization, and optimization within fintech systems. Engineers contribute directly to product innovation and operational efficiency by building scalable and reliable AI components.
Key Responsibilities
As an AI Engineer I, typical responsibilities include:
- Developing and implementing machine learning models
- Cleaning, transforming, and preparing structured and unstructured datasets
- Designing features for model training and optimization
- Evaluating model accuracy and performance metrics
- Deploying AI models into production environments
- Collaborating with engineering and product teams to integrate AI-driven features
- Monitoring model performance and refining algorithms
- Writing clean, maintainable, and scalable code
- Documenting technical workflows and model logic
These responsibilities ensure AI systems are reliable, scalable, and aligned with product objectives.
Technical Skills Required
To perform effectively in this role, candidates should demonstrate:
- Strong programming skills in Python
- Knowledge of machine learning libraries such as TensorFlow, PyTorch, or Scikit-learn
- Understanding of statistics, probability, and data modeling concepts
- Familiarity with SQL and database systems
- Experience working with APIs and backend systems
- Knowledge of cloud platforms like AWS, GCP, or Azure
- Strong understanding of data structures and algorithms
Hands-on academic projects, internships, or AI-based capstone work significantly strengthen candidacy.
Professional and Soft Skills
Beyond technical proficiency, success in this role requires:
- Strong analytical and problem-solving ability
- Effective written and verbal communication skills
- Ability to collaborate in cross-functional teams
- Attention to detail and structured thinking
- Adaptability in fast-paced environments
- Ownership mindset and continuous learning attitude
These professional traits enable engineers to deliver high-quality solutions while working within distributed teams.
Typical Work Environment
As a remote position, this role offers flexibility while maintaining high performance standards. Engineers collaborate virtually with global teams, participate in agile workflows, and contribute to feature planning and development cycles. Remote work demands discipline, clear communication, and proactive engagement with stakeholders.
Who Should Apply
This opportunity is suitable for:
- Recent graduates passionate about AI and machine learning
- Candidates with strong coding and algorithm foundations
- Individuals with academic or internship exposure to AI systems
- Early-career professionals seeking fintech experience
- Graduates aiming to build a long-term career in artificial intelligence
Candidates with GitHub portfolios, Kaggle projects, research publications, or open-source contributions have added advantage.
Career Growth Opportunities
Starting as an AI Engineer I can lead to roles such as:
- Senior AI / Machine Learning Engineer
- Data Scientist
- AI Product Engineer
- Machine Learning Operations (MLOps) Engineer
- Technical Lead – AI Systems
Growth depends on technical depth, measurable impact, and contribution to scalable AI systems.
Why This Role Is Valuable
- Exposure to real-world AI applications in fintech
- Opportunity to work on production-grade machine learning systems
- Remote flexibility with global collaboration
- Strong foundation for advanced AI and data science careers
- Experience in integrating AI with large-scale product platforms
This role builds both technical expertise and practical business understanding.
Apply Link
Apply directly through the official job portal:
Ensure your resume highlights AI projects, technical skills, deployment experience, and measurable outcomes.
Final Career Insight
The Sezzle AI Engineer I role presents a meaningful opportunity for graduates from 2021–2025 batches to step into applied artificial intelligence within a fintech environment. With remote flexibility, real product impact, and strong learning exposure, this position serves as a launchpad for building a high-growth career in AI, machine learning, and intelligent systems engineering.
