Key Responsibilities

Design, develop, and maintain Python-based APIs for AI/ML models and services and data pipelines
Collaborate with AI researchers to implement and optimize machine learning models interfacing with data warehouse
Conduct research into new AI/ML techniques and evaluate their applicability to business problems
Build RESTful and GraphQL APIs using frameworks like FastAPI , Flask , or Django REST Framework
Write clean, testable, and maintainable Python code with a focus on performance and scalability
Participate in code reviews , mentor junior developers, and contribute to best practices
Integrate AI models with backend systems and frontend applications
Stay up-to-date with AI/ML trends , Python libraries (e.g., PyTorch , TensorFlow , Scikit-learn ), and API design patterns
Work in an agile environment , delivering high-quality software in iterative sprints

Qualifications

Bachelor s or Master s degree in Computer Science, Data Science, or a related field
4 + years of professional experience in software development, with 3 + years in Python
Strong experience with Python web frameworks (e.g., FastAPI, Flask, Django)
Hands-on experience with AI/ML model deployment and integration
Familiarity with machine learning libraries such as TensorFlow , PyTorch , or Scikit-learn
Experience with API design and development , including REST and GraphQL
Solid understanding of software architecture , design patterns , and best practices
Excellent problem-solving skills and attention to detail
Strong communication skills and the ability to work in a collaborative, cross-functional team
Bonus: Experience with Docker , Kubernetes , CI/CD pipelines , and cloud platforms (AWS, GCP, Azure)

What We re Looking For in a Candidate

Senior Data Engineer (AI & API Development)

Job Description