Time since we first saw it
Day 154
Up longer than most. Similar jobs usually come down between day 6 and day 69.
From 4,284 similar postings that came down. Coming down is not always a hire.
AI/ML Engineer - AWS
Telangana, Hyderabad, India
Open 5 months, first seen by us 154 days ago- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s posting: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingDesign and implement intelligent automation solutions using computer vision, OCR and deep learning
Build proof-of-concepts and scalable AI platforms on AWS
Build automation use cases such as waste overflow detection and contract data extraction
From the employer’s posting
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
What you’ll bring
All qualificationsCore 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.
- Strong communication and stakeholder management skills.
Qualification wording
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.
Strong communication and stakeholder management skills.
Education & alternatives
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.
Posting record
Report an errorOpen 5 monthsWe first saw this posting 154 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
- Status in our records
- Live
- First seen by us
- Jun 3, 2026154 days ago
- Recorded sightings
- 118
- Last seen by us
- Nov 4, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
ECS | Enterprise Change Specialists is hiring
14 open jobs
- Its jobs tend to stay up a long time
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- R
- AWS
- Azure
- Docker
- S3
- SageMaker
- FastAPI
- Flask
- PyTorch
- TensorFlow
- GCP
Where the posting names them
- 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.
- 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.
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)
- 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.
Good-to-Have Skills (Optional) - Exposure to Azure AI or Google Cloud AI services. - Experience in developing Cordial AI or Domain-Specific AI models.
- 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.
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About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
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.
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.
Source details
Source notes
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- Pay
No pay amount identified in the saved description.
- Location & working pattern
Telangana, Hyderabad, India
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.