AI/ ML Engineer
RapYder Cloud Solutions (company site, opens in a new tab)0–1 yrsBengaluruOn-siteDirect career pageEst. 4–8 LPA
Posted on 11 Sept
Reach people at RapYder Cloud Solutions
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at RapYder Cloud Solutions you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- 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.
Minimum Requirements
- 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).
Ideal Candidate Profile
- 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.