Bachelor's degree in computer science, Information Systems, or equivalent education or work experience.
Around 6+ years of total experience and 3+ years as Client/LLM model developer using cloud technologies.
Any AWS and/or Databricks certification will be a plus.
Roles & Responsibilities
Should be able to work independently with minimal directions and guide the team.
Recognize the current application infrastructure and suggest new concepts to improve performance.
Document the best practices and strategies associated with LLM application development and deployment.
Produce reusable, efficient, and scalable programs, and also cost-effective strategies.
Develop AI and Client pipelines in Databricks and different AWS services, including S3, EC2, API Gateway, Bedrock and Lambda.
Comfortable to work on tight timelines, when required.
Skill Sets Required
Good decision-making and problem-solving skills.
Expertise in Python programming with specialization using various AI/Client libraries.
Solid understanding of Databricks fundamentals/architecture and AWS Bedrock, EC2, MLFlow and other key services.
Solid and proven experience in building chatbot applications using LLM and take it to production.
Solid knowledge on building Large Language Models (LLM) applications which includes RAG, fine-tuning, LLMOps, Model selection, Model evaluations and building LLM chains.
Experience in working with both open source LLMs and SaaS/marketplace based LLMs.
Good Understanding of GenAI model architecture best practices.
Hands-on experience in different domains, like database architecture, artificial intelligence, machine learning, advanced analytics, big data, etc.
Nice to have Skill Sets
Knowledge on Apache Airflow.
Solid knowledge on CI/CD pipeline in AWS technologies.
Finance and Compliance domain knowledge.
If you are qualifying in the above opportunity, please send me a copy of your resume along with following details ASAP.