4 - 6 years
0 - 3 Lacs
Posted:2 weeks ago|
Platform:
Hybrid
Full Time
Job Description: Minimum 2 years of hands-on experience in Generative AI (GenAI), including working with various LLMs, prompt engineering, fine-tuning, Retrieval-Augmented Generation (RAG), and deploying GenAI solutions in production environments. At least 3 years of experience in Python and SQL, with strong fundamentals in data manipulation and backend logic. Good experience with AWS AI/ML services[ Comprehend, Bedrock, Textract, SageMaker, Lambda, and DynamoDB ] OCR and ML model development/maintenance experience, including experience in productionizing and monitoring ML models Hands-on experience with Docker, including containerization of ML workloads and deployment in scalable environments. Experience using AWS Step Functions for orchestrating production-level AI workflows and infrastructure automation. Deep knowledge of AWS CloudFormation, with experience in using it for setting up production-grade infrastructure. Proficiency in C++ , especially for performance-critical components or integration with legacy systems. CI/CD pipeline development and maintenance using Git, with best practices for version control and automated deployments.
Hexaware Technologies
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