AI/ ML Engineer

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.

Job Title: AWS Associate AI/ML Engineer

Job Location: Bangalore (Preferred)

Experience: 3-6 Years

Remuneration:

1. Entry Level - 4L.

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

Job Description

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