Description : We are seeking an experienced AI Engineer with strong expertise in designing, developing, and deploying AI/ML solutions on AWS cloud platforms. The ideal candidate will have hands-on experience in machine learning, deep learning, NLP, and MLOps, coupled with a solid understanding of AWS AI/ML services and end-to-end model lifecycle management.
Key Responsibilities
- Design, build, and deploy AI/ML models and pipelines using AWS services such as SageMaker, Lambda, Glue,
and Step Functions.
- Collaborate with data scientists, data engineers, and business teams to translate requirements into scalable AI solutions.
- Develop and optimize deep learning models for use cases such as NLP, computer vision, recommendation systems, and predictive analytics.
- Implement data ingestion, transformation, and feature engineering pipelines leveraging AWS services (e.g., Glue, Redshift, S3, Athena).
- Manage the end-to-end ML lifecycle including experimentation, training, evaluation, deployment, and monitoring.
- Integrate AI models into production applications through REST APIs, containers, or microservices.
- Apply MLOps practices for automation, versioning, and model governance.
- Continuously evaluate and adopt new AI frameworks and AWS innovations to enhance solution capabilities.
(ref:hirist.tech)
