AI/ ML Engineer

Rapyder Cloud Solutions; Bengaluru; On-site; INR 450,000 - 500,000; Full time

Job summary

Rapyder Cloud Solutions Pvt Ltd is seeking an Associate AI/ML Engineer to understand customer workloads and design end-to-end cloud and ML architecture. The role focuses on AWS services, including SageMaker, Lambda, and data platforms, with hands-on PoC work and collaboration with senior engineers.

The candidate should have Python experience, familiarity with AI/ML solutions, and a Bachelor's degree or equivalent. Office-based role in Bengaluru with AWS-focused project exposure.

Qualifications

• Bachelor's degree or equivalent qualification.
• 1 year of relevant POC or training experience.

Responsibilities

• Understand workloads and technology landscape for cloud suitability, ML and data platforms including AWS services.
• Draw end-to-end reference architecture stitching together required layers based on customer needs.
• Create and implement architecture with minimal hand holding.

Skills

Python

AWS SageMaker

AWS Lambda

AI/ML

Git

Education

Bachelor's degree or equivalent

Tools

AWS services

Sagemaker

Job description

Rapyder Cloud Solutions Pvt Ltd | Full time

Bangalore South, India | Posted on 09/11/2026

We are a team of cloud enthusiasts, keen and spirited to make the latest cloud technologies work for you.

Rapyder is an agile, innovative company that makes Cloud work for you. With a young, passionate team and expertise in Cloud Computing Solutions, Big Data, Marketing & Commerce, DevOps, and Managed Services, Rapyder is the leading provider of Strategic Cloud Consulting. Solutions provided by Rapyder are seamless, secure, and scalable. With headquarters in Bangalore, sales & Support offices located in Delhi, and Mumbai, we ensure optimal technology solutions to reduce costs, streamline business processes and gain business advantages for our customers.

Secondary Skillset

0

Budget

0

Job Description

About us

Rapyder, an AWS Advanced Consulting Partner, is an agile, precise, and innovative company that offers end-to-end cloud solutions across different industry verticals. Rapyder is delighted to be honoured with consulting partner of the year at the AWS Partner Summit Online India - 2021.

With Cloud at the core of its service portfolio, Rapyder works with a clear vision to help enterprises achieve their business goals, leveraging more suitable and latest technologies. Our team believes in providing 24*7 customer support and monitoring services and delivers cloud solutions that are seamless, secure, and scalable.

Rapyder has its headquarters at Bengaluru and sales and support offices in Delhi and Mumbai.

2. On Certification (AWS Cloud Practitioner + AWS Machine Learning Specialty) - 4.5 L (Fixed ) + 50K (VP)

Roles/Responsibilities

• Understand their current workloads and technology landscape for Cloud suitability, ML and Data platform including but not limited to Amazon Sagemaker, Amazon Athena, AWS Glue, AWS Lambda, S3, Kinesis and other aws high level services for ML with real-time integration.
• Ability to draw end to end reference architecture stitching together all the required layers based on customers need.
• Should be able to create and implement architecture with minimal hand holding.
• Evaluate, select, and implement new tools and frameworks to expand our platform capabilities.
• Basic understanding on AI/ML solutions.
• Associate AI/ML Engineer will be responsible for creating end to end solution and accountable for deploying the solution with assistance from Tech Lead and Senior AI/ML Engineer.

Hand on experience required

• Good to have PoC/Implementation exposure on some of the AWS ML services (Amazon Sagemaker, Comprehend, Amazon Forecast, Amazon Fraud Detector, Amazon Kendra, Amazon Lex, Amazon Personalize, Amazon Polly, Amazon Rekognition, Amazon Textract, Amazon Transcribe, Amazon Translate)
• Hands on experience/POC on Python is must.
• The primary focus is on AI tools and AWS services – Supervised, Unsupervised Machine Learning algorithms, basic deep learning, and related AWS Services
• Basic understanding on AI/ML solutions.
• Good to have PoC/Implementation exposure on some of the AWS ML services
• Knowledge on Amazon Sagemaker and lambda will be added advantage.
• Working experience with version control platforms e.g., Git

Requirements

• Bachelor’s degree or equivalent Qualification
• Relevant POC or Training experience 1 years.