AI ML Engineer (Python + AWS )

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. 

Tools & Technologies:

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

If interested, please share resume to kratika.vijaywargiya@advantal.net