Software Engineer

Prepare data pipelines for training, preprocessing, and feature engineering.

• Containerize applications using Docker and support CI/CD pipelines and cloud deployments (AWS preferred).

• Write clean, testable, and maintainable code; implement unit and integration tests (JUnit, Pytest).

• Collaborate with cross-functional teams to integrate AI/ML solutions into production-ready applications.

• Monitor and optimize model and application performance; troubleshoot and resolve technical issues.

• Participate in code reviews, agile ceremonies, and knowledge-sharing initiatives.

You have what it takes if you have...

**Programming
**

• Proficiency in Java 17+ and Python 3.x

• Java: Spring Boot (REST APIs, configuration), Spring Data JPA, Spring Security basics

• Python: FastAPI, Pydantic, SQLAlchemy, async/await concepts, Pytest

**AI & ML
**

• Knowledge of machine learning frameworks (TensorFlow, PyTorch, scikit-learn)

• Experience in RAG architectures, model training, evaluation, optimization, and deployment

• Familiarity with large language models (LLMs) is a plus

**Architecture & APIs
**

• REST API development and microservices concepts

• Familiarity with OpenAPI/Swagger

**Database
**

• PostgreSQL/MySQL experience; writing queries and understanding relationships

• Exposure to migration tools

**Cloud & DevOps
**

• Docker (basic containerization)

• Exposure to AWS services (EKS, RDS preferred)

• Familiarity with CI/CD pipelines (GitHub Actions or similar)

• Basic logging and monitoring understanding

**Soft Skills
**

• Strong analytical and problem-solving skills

• Ability to work in Agile environments

• Good collaboration and communication skills

• Willingness to learn and adapt to new technologies

• Ownership of assigned tasks and timely delivery

#LI-Onsite