#req11208
es-based features.
Prepare data pipelines fortraining models and support data preprocessing/feature engineering.
Containerize applications usingDocker and support CI/CD pipelines and cloud deployments (AWS).
Write clean, testable,maintainable code; perform unit and integration testing.
Collaborate with cross-functionalteams to integrate AI/ML solutions.
Monitor and optimize model andapplication performance; troubleshoot and resolve technical issues.
Participate in code reviews, agileceremonies, and knowledge-sharing initiatives.
**You have what it takes if you have...
**
**Programming & Backend
**
Proficiency in Java 17+ and Python 3.x
Experience with Spring Boot, Spring Data JPA, and SpringSecurity basics
Experience with FastAPI, Pydantic, SQLAlchemy, andasync/await concepts
**AI & ML
**
Knowledge of machine learning algorithms and 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 & Databases
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REST API development and microservices architecture
PostgreSQL/MySQL experience with queries, relationships, andmigration tools (Alembic)
Familiarity with OpenAPI/Swagger
**Cloud & DevOps
**
Docker (containerization)
Familiarity with AWS (EKS, RDS, ECR preferred)
CI/CD tools (e.g., GitHub)
Logging and monitoring basics
**Soft Skills
**
Strong problem-solving ability
Experience in Agile/Scrum environments
Effective collaboration with product, QA, and DevOps teams
#LI-Onsite