We are seeking a talented and experienced AI/ML Engineer with a strong background in Generative AI, Python programming, and cloud technologies (Azure, AWS). The ideal candidate will be responsible for designing, developing, and deploying machine learning models, particularly focusing on generative models and AI applications. The role involves collaborating with cross-functional teams to build scalable AI solutions on cloud platforms and optimizing models for performance and cost-efficiency.
Key Responsibilities:- Design, develop, and deploy AI/ML models, with a focus on Generative AI for various use cases such as natural language processing (NLP), computer vision, and other AI-driven solutions.
- Build and maintain scalable data pipelines and AI workflows, integrating with cloud platforms (Azure, AWS).
- Implement cloud-native solutions for training, testing, and deploying AI models on AWS (e.g., Sagemaker, Lambda, EC2) and Azure (e.g., Azure ML, Blob Storage, Databricks).
- Optimize AI models for performance, scalability, and cost-efficiency in cloud environments.
- Collaborate with data scientists, engineers, and product teams to understand project requirements and deliver AI solutions that meet business needs.
- Monitor and fine-tune AI models for accuracy, reliability, and robustness, applying best practices for AI model lifecycle management.
- Stay up-to-date with the latest advancements in Generative AI, machine learning, and cloud computing, and recommend innovative solutions to enhance AI infrastructure.
- Perform data preprocessing, feature engineering, and model evaluation using Python and relevant AI/ML libraries.
- Implement CI/CD pipelines for deploying AI models in production environments, ensuring seamless integration with existing applications.
- Mentor junior team members and contribute to knowledge-sharing initiatives within the team.
