AI ApplydAIAPPLYD

AI ML Engineer

Qode

remote globalPosted Jun 4, 2026
Posting intelligenceActively listedReposted 2×, possible evergreen/ghost posting

Skills

classificationlangchainazurenaturallanguageprocessingawsllmml

About the role

AI ML Engineer

We are seeking a Senior AI/ML Engineer with 5+ years of hands-on experience in Artificial Intelligence and Machine Learning. The ideal candidate should have worked in organizations where AI/ML technologies are actively implemented in production environments, particularly in Document AI and intelligent automation.

Key Responsibilities

Design, develop, and deploy scalable AI/ML models for document processing and automation.

Build end-to-end pipelines for data extraction, classification, and validation.

Implement and integrate Document AI and OCR-based solutions.

Develop LLM-driven applications using modern frameworks and orchestration tools.

Collaborate with cross-functional teams to deliver business-focused AI solutions.

Optimize model performance, accuracy, and scalability in production environments.

Stay updated with the latest advancements in AI/ML technologies.

Core Competencies

Strong experience in production-grade AI/ML implementations.

Expertise in Intelligent Document Processing (IDP) and Document AI.

Hands-on experience with LLM frameworks and workflow orchestration.

Strong analytical, problem-solving, and debugging skills.

Ability to work in fast-paced, technology-driven environments.

Must-Have Technical Skills

Rossum

Hyperscience

Nanonets

Infrrd

Microsoft Azure AI Document Intelligence

AWS Textract

LandingAI ADE Split

LlamaParse

LayoutLMv3

Donut (Document Understanding Transformer)

LangGraph

LangChain

Education & Qualifications

Bachelor’s or Master’s degree in Artificial Intelligence, Machine Learning, Computer Science, or a related field.

Additional Requirement

At least 2 years of experience in leadership roles

Candidates must have prior experience working with organizations that actively utilize AI/ML technologies in real-world, production-grade environments.

Proficiency with Robotic Process Automation (RPA) Tools..

Strong Mathematical foundation (Linear Algebra, Probability, Statistics, Optimization) is highly desirable.

Preferred Qualifications

Experience in large-scale AI deployments on cloud platforms.

Strong background in NLP, OCR, and document automation workflows.

Experience with model fine-tuning, prompt engineering, and evaluation techniques.

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