About the Role
DETAILED JOB DESCRIPTION
Design, build, and deploy scalable AI/ML and Gen AI solutions on AWS. The role requires strong hands-on expertise in machine learning, deep learning, LLM integration, and production-grade model deployment in cloud environments.
Key Responsibilities
Design and develop ML/DL models for enterprise use cases
Build and deploy Gen AI/LLM-based solutions (RAG, prompt engineering, fine-tuning)
Develop scalable inference pipelines on AWS
Work with large structured and unstructured datasets
Implement model monitoring, evaluation, and performance optimization
Integrate AI models with backend systems via APIs
Collaborate with data engineers and application teams
Follow best practices in model versioning, testing, and deployment
Required Skills
9–12 years of overall experience with strong ML engineering focus
Hands-on experience in ML and DL frameworks (Tensor Flow / Py Torch / scikit-learn)
Experience working with LLMs and Gen AI a...
Design, build, and deploy scalable AI/ML and Gen AI solutions on AWS. The role requires strong hands-on expertise in machine learning, deep learning, LLM integration, and production-grade model deployment in cloud environments.
Key Responsibilities
Design and develop ML/DL models for enterprise use cases
Build and deploy Gen AI/LLM-based solutions (RAG, prompt engineering, fine-tuning)
Develop scalable inference pipelines on AWS
Work with large structured and unstructured datasets
Implement model monitoring, evaluation, and performance optimization
Integrate AI models with backend systems via APIs
Collaborate with data engineers and application teams
Follow best practices in model versioning, testing, and deployment
Required Skills
9–12 years of overall experience with strong ML engineering focus
Hands-on experience in ML and DL frameworks (Tensor Flow / Py Torch / scikit-learn)
Experience working with LLMs and Gen AI a...
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