9 Top Talent Technologies Jobs

Key Responsibilities :

API Development & Maintenance :

- Design, develop, and maintain RESTful APIs using Python (Flask, FastAPI, or similar frameworks) for ML applications.

- Implement best practices for endpoint creation, versioning, pagination, and error handling.

Deployment & Release :

- Containerize applications using Docker for consistent deployments across environments.

- Deploy, manage, and scale solutions on AWS or Azure.

Performance & Scalability :

- Monitor API performance metrics (throughput, latency) and optimize for better efficiency.

- Implement load balancing, caching, and other high-traffic handling strategies.

Collaboration & Teamwork :

- Work closely with data scientists to integrate ML models into production-ready applications.

- Partner with cross-functional teams to ensure seamless system delivery.

Documentation & Testing :

- Maintain clear, concise technical documentation and manage code repositories.

- Develop and execute unit tests, integration tests, and performance tests.

Required Qualifications :

Education & Experience :

- 1-3 years of professional experience in software engineering or a related field.

- Bachelor's degree in Computer Science, Data Science, or equivalent experience.

- Python Proficiency

- Strong experience in Python for API development (Flask, FastAPI, or Django).

- Understanding of code structure, testing, and documentation best practices.

Cloud & Containerization :

- Basic experience with AWS or Azure for application deployment.

- Hands-on knowledge of Docker for containerized services.

- ML/DS Awareness (Good to Have)

- Familiarity with machine learning concepts (regression, classification, clustering).

- Exposure to OpenAI APIs, Hugging Face, Transformers, Scikit-Learn.

- API Engineering Focus

- Understanding of REST API design principles, including versioning, pagination, and performance optimization.

- Team-Oriented & Communicative

- Strong verbal and written communication skills in English.

- Ability to collaborate effectively within a cross-functional team.