Senior AI ML Developer at CGI
Listed by DevShelfHub
About the Role
CGI is hiring a Senior AI ML Developer in Hyderabad to build intelligent AI applications, develop ML models, implement RAG architectures, and deploy scalable solutions on AWS. With 94,000 consultants globally, CGI delivers end-to-end IT and business consulting from strategy through managed services.
The ideal candidate has strong experience in AI/ML development, Generative AI, cloud-native architectures, and MLOps best practices.
What you'll do
- Develop and deploy ML and deep learning models for business use cases
- Design and implement end-to-end AI solutions using Python
- Build scalable inference services with modern AI frameworks
- Develop NLP solutions for text analytics and conversational AI
- Design RAG solutions using LLMs and vector databases
- Build document ingestion, chunking, embedding, and retrieval pipelines
- Integrate LLMs with enterprise applications
- Implement prompt engineering and AI guardrails
- Develop supervised and unsupervised models with feature engineering
- Build ML pipelines for automated deployment and monitoring
- Deploy AI solutions on AWS SageMaker and Bedrock
- Build CI/CD pipelines for AI/ML model deployments
- Containerize with Docker and deploy on Kubernetes/ECS
- Develop ETL and preprocessing pipelines for large-scale data
- Monitor AI applications and troubleshoot model performance
What we're looking for
- Bachelor's in Computer Science or related field with minimum 3 years relevant experience
- 8+ years in AI/ML solution development
- Experience with Python, ML, Deep Learning, and NLP
- Generative AI and LLM experience
Skills & Technologies
Required
Benefits & Perks
- Health Insurance
- Flexible Leave Policy
- Learning Budget
- EPF / NPS
Why This Role is Good for Experienced Professionals
- Build end-to-end GenAI and RAG solutions on AWS at enterprise scale.
- Develop and deploy ML and deep learning models for business use cases
- Design end-to-end AI solutions using Python
- Build RAG solutions with LLMs and vector databases
- Integrate OpenAI, Claude, Llama, and Bedrock models with enterprise apps
- Implement prompt engineering, guardrails, and GenAI optimization
- Develop supervised and unsupervised learning models with MLOps
- Deploy on AWS SageMaker, Bedrock, S3, Lambda, ECS, API Gateway
- Build CI/CD pipelines with Docker, Kubernetes, and GitHub Actions
- Develop ETL pipelines for structured and unstructured data
- Monitor AI applications and model performance in production
About CGI
- Industry
- Technology
- Company Size
- 500+
- Website
- cgi.com
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Job Details
- Type
- Full time
- Level
- Senior
- Experience
- 8–12 years
- Location
- Hyderabad, Andhra Pradesh, India
- Work Mode
- Hybrid
- Category
- AI / ML
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