Openings For Mid Level AI Developer

Global Healthcare Billing Partners; Chennai District; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

Global Healthcare Billing Partners Pvt Ltd is seeking a mid-level AI Developer in Chennai to design and deploy AI/ML solutions across enterprise environments.

The role focuses on ML model development, NLP, and LLM-based applications, with hands-on experience in MLOps, data pipelines, and API integration to drive AI-led improvements.

Qualifications

• Experience in ML/AI model development and deployment.
• Hands-on with NLP, DL, and transformer models.
• Experience with LLMs, vector databases, and RAG.
• Familiarity with MLOps, CI/CD, and model monitoring.

Responsibilities

• Develop ML models for structured and unstructured data.
• Build LLM-based apps using GPT/Claude/Llama and related tooling.
• Deploy models with Docker/Kubernetes and cloud-native tools; integrate CI/CD.
• Collaborate with data engineers on data pipelines, governance, and quality.
• Create enterprise APIs to integrate AI into business apps.
• Support responsible AI practices including explainability and governance.

Skills

Python

TensorFlow

PyTorch

Scikit-learn

NLP

Transformers

Hyperparameter tuning

Model evaluation

Education

Bachelor's or Master's degree in CS/AI/Data Science

AI/ML/Cloud certifications

Tools

Docker

Kubernetes

MLflow

Kubeflow

SageMaker

Vertex AI

REST API development

Job description

Greetings From Global Healthcare Billing Partners Pvt Ltd !!

Hiring: MidLevel AI Developer

Position: AI / ML / LLM Developer (Mid-Level)

Experience: 3 to 5 Years

Reporting To: Lead AI Engineer

Location: Chennai

Employment Type: Full-Time

About the Role.

We are looking for skilled Mid-Level AI Developers with hands-on experience in Machine Learning, NLP, Deep Learning, and Large Language Models (LLMs). You will work closely with our Lead AI Engineer to build and deploy scalable, production-grade AI solutions used across enterprise environments.

This role is perfect for candidates who are passionate about AI engineering, love solving complex problems, and want to work on end-to-end AI development from data to deployment.

Key Responsibilities

1. AI & ML Model Development

• Build and deploy ML models for structured & unstructured datasets
• Develop NLP, classification, predictive, and deep learning models
• Create complete ML pipelines: ingestion pre processing training deployment monitoring
• Optimize models for accuracy, latency, and scalability

2. LLM & Generative AI Engineering

• Develop LLM-based applications using GPT, Claude, Llama, or similar
• Implement prompt engineering, RAG pipelines, vector search, and finetuning
• Work on AI copilots, chatbots, document-intelligence systems, and automation agents
• Use embeddings and vector databases (FAISS / Pinecone / Milvus / Weaviate)

3. MLOps & Deployment

• Deploy models using Docker, Kubernetes, or cloud-native tools
• Integrate CI/CD pipelines for ML
• Track models using MLflow, Kubeflow, SageMaker, or Vertex AI

4. Data Engineering Collaboration

• Work with data engineers to prepare highquality datasets
• Design feature engineering strategies
• Ensure data governance, lineage, and data quality

5. Enterprise AI Integration

• Build APIs to integrate AI solutions into business applications
• Automate business workflows using AI-powered logic
• Work with cross-functional teams to identify AI-led improvements

6. Compliance & Responsible AI

• Implement explainability, fairness, and model governance practices
• Follow data privacy and security protocols

Required Technical Skills

Core AI / ML

• Strong Python programming experience
• Hands-on with TensorFlow, PyTorch, Scikitlearn
• Good understanding of NLP, transformers, embeddings
• Experience with hyperparameter tuning & model evaluation

LLM / Generative AI

• Experience with OpenAI / Anthropic / Llama models
• Prompt engineering & RAG implementation
• Knowledge of vector databases (FAISS / Pinecone / Milvus)
• Exposure to fine-tuning or instruction tuning

MLOps

• Docker, Kubernetes & CI/CD pipelines
• MLflow / Kubeflow / SageMaker / Vertex AI
• Model monitoring & drift detection

Data & Infra

• SQL & NoSQL databases
• Handling large datasets
• REST API development
• Cloud platforms (AWS preferred)

Preferred Qualifications

• Experience in healthcare, RCM, or enterprise AI systems
• Familiarity with intelligent document processing (IDP)
• Knowledge of multi-agent systems or reinforcement learning
• Understanding of HIPAA & healthcare data compliance

Soft Skills

• Strong analytical skills
• Ability to break down business problems into AI solutions
• Clear communication skills
• Ownership mindset
• Ability to work independently and collaborate with cross-functional teams

Education

• Bachelors or Masters degree in CS, AI, Data Science, or related fields
• AI/ML/Cloud certifications are a plus

Interested candidates can share their updated resume at:

8610738432