mantralaya mumbai maharashtra cloud engineer Jobs – 56 Open Jobs Today

AI ML Engineer
Qode —Mumbai District, Maharashtra
- Full-time
- Remote
- Azure
- Master's degree
- AWS
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11h

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₹10,000 - ₹12,000 a month
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Gauranga Technologies —Navi Mumbai, Maharashtra
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AI ML Engineer

Qode
Mumbai District, Maharashtra

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Job details

Full-time
11 hours ago

Qualifications

Azure
Law
Master's degree
AWS
Analysis skills
Math
Bachelor's degree
Machine learning
Natural language processing
AI
Debugging

Full job description

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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