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Generative AI Application Developer
Generative AI Application DeveloperCozzera • Republic Of India, IN
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Generative AI Application Developer

Generative AI Application Developer

Cozzera • Republic Of India, IN
15 days ago
Job description

Job Title : AI Software Developer

Experience : 5+ Years

Location : Remote (1–2 days / month onsite) [Bangalore / Chennai / Hyderabad / Pune / Noida / Gurugram]

Employment Type : Full-Time

Job Overview

We are seeking an experienced AI Software Developer to design, build, and deploy advanced AI / ML solutions for enterprise healthcare applications. The ideal candidate will have strong expertise in Generative AI, LLMs, NLP, and predictive analytics, with the ability to collaborate across teams to deliver scalable and secure AI-driven products.

Key Responsibilities

  • Design, develop, and deploy AI / ML models for large-scale enterprise systems
  • Build and maintain reusable AI frameworks, pipelines, and libraries
  • Work closely with data scientists and product managers to translate business needs into technical solutions
  • Optimize AI / ML algorithms for performance, security, and regulatory compliance
  • Implement and support cloud-based AI solutions on Azure
  • Apply best practices in MLOps , CI / CD, versioning, and model monitoring
  • Develop solutions involving LLMs, RAG pipelines, and generative AI technologies
  • Participate actively in Agile ceremonies and ensure timely project delivery
  • Ensure adherence to healthcare data standards and privacy regulations (HIPAA, HL7, etc.)

Required Skills & Qualifications

  • Bachelor’s or Master’s degree in Computer Science, AI / ML, Data Science , or a related field (Advanced degree preferred)
  • Minimum 5 years of hands-on experience in AI / ML development
  • Strong programming skills in Python
  • Expertise with TensorFlow, PyTorch , and other AI / ML frameworks
  • Experience working with LLMs, RAG systems, GPT-based architectures, and generative AI
  • Proficiency with Azure Cloud Services
  • Knowledge of MLOps , containerization (Docker), and scalable deployment practices
  • Experience with NLP, predictive analytics , and model optimization
  • Familiarity with healthcare data interoperability and compliance requirements
  • Strong communication, analytical thinking, and problem-solving abilities
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