About the Role
The role involves developing and deploying AI models, improving existing machine learning pipelines, and collaborating with software engineers and data scientists to integrate AI capabilities into production systems.
Compensation
Competitive salary and benefits package
Work Arrangement
Remote
Team
Collaborative engineering team focused on AI-driven solutions
Responsibilities
- Design and implement machine learning models for real-world applications
- Optimize AI systems for performance, scalability, and reliability
- Collaborate with data scientists to refine training datasets
- Integrate AI models into backend services and APIs
- Monitor model performance and implement improvements
- Write clean, maintainable, and well-documented code
- Stay current with advancements in AI and machine learning techniques
- Participate in code reviews and technical design discussions
- Troubleshoot and resolve issues in production AI systems
- Work with product teams to define AI-driven features
Qualifications
- Bachelor's degree in Computer Science, Engineering, or related field
- Minimum of 3 years of experience in AI or machine learning development
- Proficiency in Python and common ML frameworks such as TensorFlow or PyTorch
- Experience with cloud platforms like AWS, GCP, or Azure
- Strong understanding of neural networks and deep learning architectures
- Familiarity with MLOps practices and model deployment
- Knowledge of data preprocessing and feature engineering
- Experience working with large-scale datasets
- Understanding of model evaluation and validation techniques
- Effective communication skills for technical and non-technical audiences
Preferred Qualifications
- Master's degree in a relevant technical field
- Experience with natural language processing or computer vision
- Background in distributed computing or big data tools
- Contributions to open-source AI projects
- Experience in fintech or payment-related systems
