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Metro Bangalore, entry-level but AWS-focused ML role with broad skill requirements yields moderate candidate competition.
AWS-centric tooling increases domain specificity, but core Python and ML skills remain transferable.
Explicit 0-1 years plus mandatory Python and AWS ML services creates strict filtering.
Own the design and deployment of end-to-end AI/ML solutions on AWS including services like SageMaker, Athena, Glue, Lambda, S3, and Kinesis.
Create and implement architecture for AI/ML workloads with minimal supervision, aligning to customer requirements.
Evaluate and select new tools and frameworks to enhance platform capabilities with focus on AI tools and AWS ML services.
Experience Required: 0-1 years with relevant proof of concept or training experience.
Bachelor's degree or equivalent qualification mandatory.
Hands-on experience with Python is must.
Preferred location: Bangalore (noted as preferred).
Familiarity and hands-on experience with AWS AI/ML services including but not limited to SageMaker, Comprehend, Forecast, Fraud Detector, Kendra, Lex, Polly, Rekognition, Textract, Transcribe, Translate.
Capable of designing and deploying AI/ML solutions independently with limited oversight, indicative of early career but technically capable engineers.
Exposure to version control tools such as Git and understanding of supervised, unsupervised ML algorithms, and basic deep learning concepts.