AI/ML Specialist
19 hours 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.
- 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).
- 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.
- 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.
- 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.
- 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.
- 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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