AI/ML Engineer - AWS

ECS ME; Hyderabad City Taluka; Sur place; PKR 2 000 000 - 4 000 000; Plein temps

Résumé du poste

Ecs Me in Hyderabad, Pakistan is seeking an experienced AI/ML Engineer to design and implement automated solutions using Computer Vision, OCR and DL, with PoCs on AWS. The role focuses on real-world automation use cases and scalable AI platforms.

The candidate will translate business needs into production-ready AI services, evaluate models, and drive measurable improvements in operations. Strong Python, ML frameworks, and AWS skills are required.

Qualifications

• 5+ years of hands-on AI/ML engineering experience in CV, OCR and DL.
• Strong knowledge of CNN architectures (ResNet, EfficientNet, YOLO, Mask R-CNN) and Vision-Language Models.
• Experience with OCR frameworks (AWS Textract, Azure Form Recognizer, Google Document AI, Mistral OCR).
• Proficiency in Python and ML frameworks (PyTorch, TensorFlow).
• Experience building AI services with FastAPI or Flask.
• Hands-on AWS cloud experience (S3, Lambda, SageMaker, Step Functions, EC2, Docker, SQS, SNS, CloudWatch).
• Understanding AI evaluation metrics (precision, recall, F1, OCR accuracy).
• Excellent analytical and problem-solving skills.

Connaissances

AI/ML engineering

Computer Vision

OCR

Deep Learning

CNN architectures

Vision-Language Models

OCR frameworks

Python

PyTorch

TensorFlow

FastAPI/Flask

AWS Cloud

AWS services

Metrics: precision recall F1

Debugging/Problem solving

CI/CD tooling

Data annotation/tools

Formation

Bachelor's or Master's in CS/AI

Outils

AWS Textract

Azure Form Recognizer

Google Document AI

Mistral OCR

Description du poste

Job Summary

We are seeking an experienced AI/ML Engineer to design and implement intelligent automation solutions using Computer Vision, OCR, Deep Learning, and Vision-Language Models (VLMs). The role involves building proof-of-concepts (PoCs) and scalable AI platforms on AWS, focusing on automation use cases such as waste overflow detection, contamination classification, and contract data extraction. The ideal candidate will combine strong technical expertise with business alignment to deliver measurable process improvements and operational efficiency.

Must-Have Skills (Mandatory)

• 5+ years of hands-on experience in AI/ML engineering, specializing in Computer Vision, OCR, and Deep Learning.
• Strong understanding of CNN architectures such as ResNet, EfficientNet, YOLO, Mask R-CNN, and Vision-Language Models (LLaVA, GPT-4V, etc.).
• Expertise in OCR frameworks – AWS Textract, Azure Form Recognizer, Google Document AI, or Mistral OCR.
• Proficiency in Python and ML frameworks such as PyTorch or TensorFlow.
• Experience in developing AI services using FastAPI or Flask.
• Strong knowledge and hands-on experience with AWS cloud services – S3, Lambda, SageMaker, Step Functions, EC2, Docker, SQS, SNS, and CloudWatch.
• Solid understanding of AI evaluation metrics (precision, recall, F1 score, OCR accuracy) for classification and detection models.
• Excellent analytical, debugging, and problem-solving skills.

Good-to-Have Skills (Optional)

• Exposure to Azure AI or Google Cloud AI services.
• Experience in developing Cordial AI or Domain-Specific AI models.
• Familiarity with CI/CD pipelines and Jenkins for automated deployments.
• Experience integrating AI models with business workflows for real-time analytics.
• Knowledge of data annotation tools, model interpretability, or model optimization techniques.

Qualifications & Experience

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related fields.
• 6 to 9 years of total experience with at least 5 years in AI/ML solution development.
• Proven track record of delivering PoCs and production-grade AI solutions aligned with client objectives.
• Strong communication and stakeholder management skills.