We are seeking an AI/ML Engineer with robust expertise in Python-based machine learning and the ability to integrate solutions with Java-based systems. The role also requires exposure to MLOps practices for deploying and maintaining scalable ML pipelines.
Key Responsibilities
- Develop and implement AI/ML models using Python
- Integrate ML solutions into Java-based backend systems
- Design and maintain data pipelines and model workflows
- Collaborate with backend teams to ensure seamless system integration
- Implement and manage MLOps practices for model deployment and monitoring
- Optimize model performance and ensure scalability in production environments
- Model development, training, and evaluation
- Java Integration
- Ability to integrate ML models into Java applications
- Understanding of APIs, microservices, and backend systems
Secondary Skills
- MLOps
- Model deployment (Flask/FastAPI)
- CI/CD pipelines
- Model monitoring and versioning
- Tools like MLflow, Docker, Kubernetes (preferred)
Preferred Qualifications
- Experience with REST API development
- Familiarity with cloud platforms (AWS/GCP/Azure)
- Understanding of data engineering workflows
- Exposure to real-time or batch processing systems