AI/ML Engineer - AWS/Python
Advantal Technologies Limited
Date: 10 hours ago
City: Indore, Madhya Pradesh
Contract type: Full time

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 :
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.
- 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.
- 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.
- 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.
- Python, PyTorch, TensorFlow
- FastAPI, Flask
- AWS : SageMaker, Lambda, S3, RDS, Cognito, API Gateway, KMS
- Git, Docker, Postgres, OpenCV, OpenSSL
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