eMedicalPractice | AI/ML Specialist – Data Labeling, Preparation, and Model Training | india
4 days ago
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 QualificationsTechnical 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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