AI/ML Engineer - AWS

ECS | Enterprise Change Specialists; Hyderabad; On-site; INR 1,800,000 - 2,400,000; Full time

Job summary

ECS | Enterprise Change Specialists is hiring an experienced AI/ML Engineer to design and implement intelligent automation using Computer Vision, OCR, DL and Vision-Language Models on AWS. You will build PoCs and scalable AI platforms for automation such as waste overflow detection and contract data extraction.

The role requires deep technical expertise, strong communication with stakeholders, and the ability to deliver measurable efficiency improvements across business processes.

Qualifications

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

Skills

AI/ML engineering

Computer Vision

OCR

Deep Learning

CNN Architectures

Vision-Language Models

Python

PyTorch

TensorFlow

FastAPI/Flask

AWS Cloud

SageMaker

Docker

OCR Evaluation Metrics

Education

Bachelor’s or Master’s in CS/AI

Tools

AWS Textract

Azure Form Recognizer

Google Document AI

Mistral OCR

FastAPI

Flask

SageMaker

Job description

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.