Hiring - Mid Level AI Developer - Velachery Chennai

Global Healthcare Billing Partners; Chennai District; On-site; Full time

Benefits offered by this job

Opportunity to build next-generation AI solutions

Competitive salary based on skills and experience

Fast-track growth under an experienced Lead AI Engineer

Job summary

A leading healthcare solutions provider is seeking a Mid-Level AI Developer to join their Chennai team. The ideal candidate should have 3 to 5 years of experience in AI/ML, particularly with machine learning, NLP, and large language models. Responsibilities include deploying scalable AI solutions and optimizing models using advanced technology. The role offers a competitive salary and opportunities for fast-track growth under experienced leadership.

Qualifications

• 3 to 5 years of experience in AI/ML development.
• Strong knowledge of deep learning, NLP, and large language models.
• Experience in deploying systems using cloud platforms.

Responsibilities

• Build and deploy ML models for structured & unstructured datasets.
• Develop and optimize LLM-based applications.
• Collaborate with data engineers for high-quality datasets.

Skills

Strong Python programming experience

Hands-on with TensorFlow

Hands-on with PyTorch

Good understanding of NLP

Experience with hyperparameter tuning

Education

Bachelors or Masters degree in CS, AI, Data Science

Tools

Docker

Kubernetes

SQL

NoSQL

Job description

Overview

Greetings From Global Healthcare Billing Partners Pvt Ltd!!!!!

Hiring: MidLevel AI Developer (3 to 5 Years) | Chennai | Full-Time

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

What We Offer

• Opportunity to build nextgeneration AI solutions
• Work on enterprise-scale automation initiatives
• High-impact role with strong technical learning
• Competitive salary based on skills and experience
• Fast-track growth under an experienced Lead AI Engineer

How to Apply

Interested candidates can share their updated resume at:

89252 10094 - BHAVANA HR