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Skills Required

ai ml aws python rest visual data encryption training development design learning logic model metrics api fastapi flask inference integration sagemaker authentication docker github compliance saas pytorch git opencv openssl

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title : AI/ML Engineer (Python + AWS + REST APIs)

Department : Web

Location : Indore

Job Type : Full-time

Experience : 3-5 years

Notice Period : (immediate joiners preferred)
Work Arrangement : On-site (Work from Office)

Overview

Advantal Technologies is seeking a passionate AI/ML Engineer to join our team in building the core AI-driven functionality an intelligent visual data encryption system. The role involves designing, training, and deploying AI models (e.g., CLIP, DCGANs, Decision Trees), integrating them into a secure backend, and operationalizing the solution via AWS cloud services and Python-based APIs.

Key Responsibilities

AI/ML Development :

  • Design and train deep learning models for image classification and sensitivity tagging using CLIP, DCGANs, and Decision Trees.
  • Build synthetic datasets using DCGANs for balancing.
  • Fine-tune pre-trained models for customized encryption logic.
  • Implement explainable classification logic for model outputs.
  • Validate model performance using custom metrics and datasets.

API Development

  • Design and develop Python RESTful APIs using FastAPI or Flask for :
  • Image upload and classification
  • Model inference endpoints
  • Encryption trigger calls
  • Integrate APIs with AWS Lambda and Amazon API Gateway.

AWS Integration

  • Deploy and manage AI models on Amazon SageMaker for training and real-time inference.
  • Use AWS Lambda for serverless backend compute.
  • Store encrypted image data on Amazon S3 and metadata on Amazon RDS (PostgreSQL).
  • Use AWS Cognito for secure user authentication and KMS for key management.
  • Monitor job status via CloudWatch and enable secure, scalable API access.

Required Skills & Experience

  • Experience with CLIP model fine-tuning.
  • Familiarity with Docker, GitHub Actions, or CI/CD pipelines.
  • Experience in data classification under compliance regimes (e.g., GDPR, HIPAA).
  • Familiarity with multi-tenant SaaS design patterns.

Tools & Technologies

  • Python, PyTorch, TensorFlow
  • FastAPI, Flask
  • AWS : SageMaker, Lambda, S3, RDS, Cognito, API Gateway, KMS
  • Git, Docker, Postgres, OpenCV, OpenSSL
(ref:hirist.tech)

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