We're seeking an experienced AI/ML Engineer to join our team and drive innovation in document intelligence solutions. You'll be at the forefront of developing and deploying cutting-edge machine learning systems that extract, interpret, and process information from diverse document types at scale.

Key Responsibilities

• Design, develop, and deploy production-grade ML models for document understanding and information extraction
• Build and optimize OCR pipelines for various document formats (structured, semi-structured, and unstructured)
• Develop NLP/NLU solutions for document classification, entity extraction, and semantic understanding
• Collaborate with cross-functional teams to integrate ML solutions into production systems
• Evaluate and improve model performance, accuracy, and processing efficiency
• Stay current with latest advances in document AI, computer vision, and LLM technologies

Required Qualifications

• 5+ years of professional experience in Machine Learning/AI engineering roles
• Deep expertise in document intelligence, including:
  • OCR technologies (Tesseract, AWS Textract, Google Document AI, Azure Form Recognizer, or similar)
  • Document layout analysis and table extraction
  • Handwriting recognition and form processing
• Strong programming skills in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn)
• Experience with computer vision techniques and libraries (OpenCV, PIL, etc.)
• Proven track record of deploying ML models to production environments
• Strong understanding of ML fundamentals, model evaluation, and optimization techniques

Preferred Qualifications

• Experience with Large Language Models (LLMs) for document understanding
• Knowledge of modern document AI architectures (LayoutLM, Donut, DocFormer, etc.)
• Experience with cloud platforms (AWS, GCP, Azure) and their ML services
• Familiarity with MLOps practices and tools (MLflow, Kubeflow, etc.)
• Background in NLP/NLU and transformer-based models
• Experience with data annotation workflows and active learning
• Publications or contributions to open-source ML projects

Technical Skills

• Languages: Python (required), experience with other languages a plus
• ML/DL Frameworks: TensorFlow, PyTorch, Keras, scikit-learn
• OCR & Document Processing: Extensive hands-on experience required
• Cloud & Infrastructure: Docker, Kubernetes, CI/CD pipelines
• Data Processing: Pandas, NumPy, data preprocessing and augmentation

Salary: $4k a month. Negotiable after few months.

Task:

• Test local VLMs/LLMs for document processing
• Main tasks revolves around designing, building and improving systems that convert unstructured content (PDFs, images, scans) into structured, actionable data. The role heavily utilize Computer Vision, Natural Language Processing (NLP), and Large Language Models (LLMs) to automate tasks like data extraction, text parsing, and document classification.

Location: Remote
Message me here if interested.

Salary: $20-$30 per hour. Negotiable after few months.

Task:

• Design and implement scalable data curation and synthetic data generation pipelines that feed post-training workflows for large language models.
• Build and optimize training infrastructure for fine-tuning and post-training runs, including RL-based training loops (RLHF, RLAIF, DPO, and beyond).
• Develop and benchmark specialized models targeting factual grounding, structured reasoning, chart understanding, and other high-value tasks.
• Own inference optimization, latency, throughput, and memory efficiency matter as much as accuracy metrics.

Location: Remote
Message me here if interested.

Location: Asia Based

Job Title: AI/ML Engineer

Location: Remote

Company: Honovix AI

Salary: $3000-$4000.

Job Description:

• Design and implement scalable data curation and synthetic data generation pipelines that feed post-training workflows for large language models.
• Build and optimize training infrastructure for fine-tuning and post-training runs, including RL-based training loops (RLHF, RLAIF, DPO, and beyond).
• Develop and benchmark specialized models targeting factual grounding, structured reasoning, chart understanding, and other high-value tasks.
• Own inference optimization, latency, throughput, and memory efficiency matter as much as accuracy metrics.
• If you love working on Agentic systems this job is for you.

 

Work Hours

• Should be available to work Eastern Time Zone at the minimum. 
• Remaining work hours are flexible

Important Notes

• Looking for long term collaboration. 
• Ideal for candidates who can commit consistent daily time and are not currently overloaded with other full-time commitments

Goal of the Role
Over time, you will take full ownership of workflows and operate independently. Compensation will grow with your ability to manage and deliver without supervision.

Note:

This is not for someone who is based in the US because obviously this compensation is too low for you.

Nature of Work

• Document processing, OCR, and data extraction
• Building and maintaining Python-based pipelines
• Working with FastAPI, Celery, Redis, Docker
• All work is performed on a remote US-based machine

Work Hours

• Should be available to work Eastern Time Zone at the minimum. 
• Remaining work hours are flexible

Who This Role Is For

• At least 5 years of experience
• Strong self-learners who can work independently
• Candidates looking for long-term growth and ownership

Requirements

• Understanding of APIs and backend concepts (preferred)
• Interest in OCR / document AI
• Strong problem-solving and debugging ability
• Good communication and reliability

Expectations

• During the initial phase, you should be willing to invest additional time to learn the system and ramp up quickly
• Consistent availability during required overlap hours

Compensation

• $3000-$4000 or more if you prove that you are good.

 

Important Notes

• Looking for long term collaboration. 
• Ideal for candidates who can commit consistent daily time and are not currently overloaded with other full-time commitments

Goal of the Role
Over time, you will take full ownership of workflows and operate independently. Compensation will grow with your ability to manage and deliver without supervision.

Salary: $20-$30 per hour. Negotiable after few months.

Task:

• Design and implement scalable data curation and synthetic data generation pipelines that feed post-training workflows for large language models.
• Build and optimize training infrastructure for fine-tuning and post-training runs, including RL-based training loops (RLHF, RLAIF, DPO, and beyond).
• Develop and benchmark specialized models targeting factual grounding, structured reasoning, chart understanding, and other high-value tasks.
• Own inference optimization, latency, throughput, and memory efficiency matter as much as accuracy metrics.

Location: Remote
Message me here if interested.

Location: Asia Based