Jobs via Dice ยท 2 hours ago
AI Engineering Lead
INUIX Consulting is seeking an AI Engineering Lead to oversee the development and deployment of AI/ML solutions. The role involves building AI/ML pipelines on AWS and implementing MLOps practices for continuous integration and delivery.
Computer Software
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
Qualification
Required
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
Preferred
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
Company
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Funding
Current Stage
Early StageCompany data provided by crunchbase