AIML Enginner Professional

Responsibilities:

• Design and develop scalable ML systems for search and recommendation.
• Implement advanced statistical modeling, deep learning, and NLP techniques.
• Utilize cloud ML platforms such as AWS SageMaker and Azure AI for deployment.
• Develop REST APIs for ML system integration and maintain version control using Git.
• Contribute to AI strategy and adoption of cutting-edge frameworks like Transformers and LLMs.
• Support DevOps practices including CI/CD for ML pipelines.
• Work with SQL Server, DB2, Kafka, ElasticSearch, and cloud/container technologies (Docker, Kubernetes).