Dice is the leading career destination for tech experts at every stage of their careers. Our client, INUIX Consulting, is seeking the following. Apply via Dice today! **Must Have Technical/Functional Skills** - Strong proficiency in Python for AI/ML development. - Hands-on experience with OpenAI and modern AI frameworks. - Experience with AWS services for AI deployment. - Proven leadership and ability to guide engineering teams **Good to have** - Solid understanding of ETL processes and data integration. - Airflow and Harness for managing AI pipelines. - Familiarity with platforms for data management. - Familiarity with automated testing and deployment pipelines. **Roles & Responsibilities** - Build and maintain AI/ML pipelines on AWS, leveraging services such as Amazon S3 for data storage, AWS Lambda for serverless functions, and Amazon EC2 for compute resources. - Deploy trained models into production environments using AWS SageMaker Endpoints, AWS Lambda, or containerization technologies like Docker and Kubernetes on AWS EKS. - Implement MLOps practices for continuous integration, continuous delivery (CI/CD), and monitoring of ML models. - Preprocess and analyze data, engineer features, and select appropriate algorithms for specific problems. - Utilize AWS services like Amazon SageMaker for efficient model training, hyperparameter tuning, and experiment tracking. - Analyzes data, builds models, and uncovers insights, often using Python for exploration and prototyping.