Description

• Design and develop Generative AI solutions using LLMs (e.g., OpenAI, Bedrock, Hugging Face, etc.)
• Build and deploy end-to-end AI/ML pipelines on cloud platforms
• Work on LLM integration, prompt engineering, and model fine-tuning
• Develop and implement API-based AI services
• Collaborate with cross-functional teams to deliver business-driven AI use cases
• Ensure scalability, performance, and reliability of AI solutions deployed on cloud infrastructure
• Contribute to solution architecture for cloud-based AI deployments (preferably AWS)

Qualifications:
Required Skills & Experience

• Hands-on experience with Generative AI / LLMs
• Strong understanding of ML concepts and NLP techniques
• Experience in Python programming and relevant AI/ML frameworks
• Exposure to prompt engineering, embeddings, and vector databases
• Experience building or working on AI solutions hosted on cloud platforms

Cloud Requirement (Important)

• Experience working on AI/ML solutions deployed on AWS cloud
• Practical exposure to AI workloads in AWS environment (specific services not mandatory)
• Strong understanding of cloud architecture, deployment, and integrations

Good to Have

• Exposure to AWS Bedrock, SageMaker, or similar AI services
• Experience with MLOps pipelines
• Familiarity with Azure or other cloud platforms along with AWS adaptability
• Prior experience in enterprise AI deployments

Key Skills

Education

Bachelor's degree