AI/ML Engineer- MLOps & Integration

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

Qualification Required:

• Primary Skills:
• Proficiency in Python for AI/ML
• Familiarity with libraries such as NumPy, Pandas, Scikit-learn, TensorFlow, and PyTorch
• Experience in model development, training, and evaluation
• Ability to integrate ML models into Java applications
• Understanding of APIs, microservices, and backend systems
• Secondary Skills:
• Knowledge of MLOps practices
• Experience in model deployment using Flask/FastAPI
• Familiarity with CI/CD pipelines, model monitoring, and versioning
• Proficiency in tools like MLflow, Docker, and Kubernetes (preferred)

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