AI / ML Engineer @ Advantal Technologies

Job Title: AI/ML Engineer (Python + AWS + REST APIs)
Department: Web
Location: Indore
Job Type: Full-time
Experience: 3-5 years
Notice Period: 0-15 days (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:
Must-Have
3 5 years of experience in AI/ML (especially vision-based systems).
Strong experience with PyTorch or TensorFlow for model development.
Proficient in Python with experience building RESTful APIs.
Hands-on experience with Amazon SageMaker, Lambda, API Gateway, and S3.
Knowledge of OpenSSL/PyCryptodome or basic cryptographic concepts.
Understanding of model deployment, serialization, and performance tuning.
Nice-to-Have
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.