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On-site

Job Type

Full Time

Job Description

Intelligent Image Management Inc (IIMI) is an IT Services company reimagines and digitizes data through document automation using modern, cloud-native app development. As one of the world's leading multinational IT services companies with offices in the USA and Singapore, India, Sri Lanka, Bangladesh, Nepal and Kenya. Over 7,000 people are employed by IIMI worldwide whose mission is to advance data process automation. US and European Fortune 500 companies are among our clients.


Become part of a team that puts its people first. Founded in 1996, Intelligent Image Management Inc. has always believed in its people. We strive to foster an environment where all feel welcome, supported, and empowered to be innovative and reach their full potential.


Website: https://www.iimdirect.com/


About the Role:

Senior Data Scientist


Key Responsibilities:

  • Design and develop end-to-end machine learning pipelines, from data preprocessing and feature engineering to model training, evaluation, and deployment.
  • Lead complex ML projects using

    deep learning, computer vision,

    and

    document analysis

    methods (e.g., object detection, image classification, segmentation, layout analysis).
  • Build solutions for

    document image processing

    using tools like

    Google Cloud Vision, AWS Textract

    , and OCR libraries.
  • Apply

    LLMs

    (Large Language Models), both open-source (e.g., LLaMA, Mistral, Falcon, GPT-NeoX) and closed-source (e.g., OpenAI GPT, Claude, Gemini), to automate text understanding, extraction, summarization, classification, and question-answering tasks.
  • Integrate LLMs into applications for intelligent document processing, NER, semantic search, embeddings, and chat-based interfaces.
  • Use

    Python

    (along with libraries such as OpenCV, PyTorch, TensorFlow, Hugging Face Transformers) and for building scalable, multi-threaded data processing pipelines.
  • Implement and maintain ML Ops practices using tools such as

    MLflow, AWS SageMaker, GCP AI Platform

    , and containerized deployments.
  • Collaborate with engineering and product teams to embed ML models into scalable production systems.
  • Stay up to date with emerging research and best practices in machine learning, LLMs, and document AI.


Required Qualifications:

  • Bachelor’s or master’s degree in computer science, Mathematics, Statistics, Engineering, or a related field.
  • Minimum

    5 years of experience

    in machine learning, data science, or AI engineering roles.
  • Strong background in

    deep learning, computer vision,

    and

    document image processing

    .
  • Practical experience with

    LLMs

    (open and closed source), including fine-tuning, prompt engineering, and inference optimization.
  • Solid grasp of

    MLOps

    , model versioning, and model lifecycle management.
  • Expertise in

    Python

    , with strong knowledge of ML and CV libraries. Experience with Java and multi-threading is a plus.
  • Familiarity with NLP tasks including

    Named Entity Recognition

    ,

    classification, embeddings

    , and

    text summarization

    .
  • Experience with

    cloud platforms

    (AWS/GCP) and their

    ML toolkits


Preferred Skills:

• Experience with retrieval-augmented generation (RAG), vector databases, and LLM evaluation tools.

• Exposure to CI/CD for ML workflows and best practices in production ML.

• Ability to mentor junior team members and lead cross-functional AI projects.


Work Location:


Send cover letter, complete resume, and references to email: tech.jobs@iimdirect.com


Industry:

  • Outsourcing/Offshoring


Employment Type

Full-time

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