eMedicalPractice | AI/ML Specialist – Data Labeling, Preparation, and Model Training

1 day ago


india eMedicalPractice Full time
About Us

We are a growing organization delivering cutting-edge solutions in healthcare IT and other emerging domains. Our projects involve leveraging AI/ML to solve complex challenges, including automating processes, optimizing workflows, and building scalable systems.

As part of our AI/ML team, you will work on diverse projects, including the automation of healthcare claim processes (EOB-to-835 conversion) and other initiatives requiring innovative AI/ML solutions.


Role Overview

We are looking for an AI/ML Specialist to join our team and contribute to multiple projects requiring expertise in data preparation, AI model development, and solution optimization. You will play a pivotal role in implementing AI-driven solutions that align with our organization's goals, focusing on scalability, efficiency, and quality.


Key Responsibilities


1. AI and ML Development in Various Projects
  • Develop and fine-tune AI models (OCR, NLP, Computer Vision, etc.) for various projects, including healthcare and beyond.
  • Build scalable and optimized pipelines for deploying AI models in production environments.
  • Stay updated on the latest trends and integrate innovative AI/ML techniques into ongoing and new projects.
2. Data Preparation and Management
  • Collect, preprocess, and augment datasets for training AI/ML models.
  • Oversee manual and semi-automated data labeling workflows to ensure high-quality datasets.
  • Develop reusable frameworks for handling diverse data types (text, images, structured data).
3. Collaboration and Integration
  • Collaborate with backend developers, QA engineers, and domain experts to integrate AI solutions into applications.
  • Work with cross-functional teams to understand project requirements and align AI workflows accordingly.
  • Participate in project planning to provide AI/ML feasibility assessments.
4. Optimization and Deployment
  • Optimize AI/ML models for performance on CPU-based and GPU-based environments, depending on project needs.
  • Design and implement deployment pipelines using tools like Docker and Kubernetes.
  • Monitor deployed models for performance and accuracy, implementing improvements as needed.
  • Implement batch processing for handling large volumes of documents.
5. Multi-Project Contribution
  • Work on healthcare automation projects such as EOB-to-835 conversion, ensuring compliance with ANSI X12 standards.
  • Contribute to other initiatives, including predictive analytics, computer vision for document processing, and AI-enhanced workflows for diverse domains.


Required Skills and Qualifications
Technical Skills

AI/ML Expertise:

  • Proficiency in OCR tools (e.g., Tesseract, PaddleOCR) Camelot, PyPDF2 and NLP frameworks (e.g., Hugging Face Transformers, spaCy).
  • Hands-on experience in AI/ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.

Data Handling:

  • Strong skills in data preparation, labeling workflows, and preprocessing.
  • Ability to work with both structured and unstructured data.

Optimization and Deployment:

  • Expertise in optimizing AI models for CPU-based production environments.
  • Experience with deployment pipelines using Docker, Kubernetes, or similar tools.

Multi-Domain Exposure:

  • Ability to adapt AI/ML solutions to diverse domains beyond healthcare.
Soft Skills
  • Excellent problem-solving and critical-thinking abilities.
  • Strong communication skills for cross-team collaboration.
  • Ability to manage priorities across multiple projects and meet deadlines.


Preferred Experience
  • Education: Bachelor’s or Master’s degree in Computer Science, Data Science, or related fields.
  • Work Experience: 3–7 years in AI/ML-focused roles with exposure to multi-project environments.
  • Healthcare Knowledge: Familiarity with healthcare data formats (e.g., EOBs, ANSI X12 835) is a plus but not mandatory.
Why Join Us?
  • Work on diverse and impactful projects, solving real-world challenges with AI/ML.
  • Be part of a collaborative and innovative team driving industry transformation.
  • Enjoy competitive compensation, tailored to your experience and expertise.






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