1) Python, LLM Models, Custom LLM coding, ML, Data Science, AI Models
Minimum qualifications
:
BE-IT OR Computers, PhD, MCA equivalent
Job Description
Deliver High-Performance AI Models: Design, fine-tune, and deploy advanced ML models, particularly LLMs, to improve scalability, accuracy, and user outcomes.
Implement Scalable Solutions: Build server less AI applications
Server deployment of applications using AWS (Lambda, API Gateway, DynamoDB) with cost-efficiency and reliability.
Integration: Develop robust GraphQL and RESTful APIs to integrate AI models into real-time workflows and web and mobile applications.
Hands-on experience with Python and libraries like OpenCV and Pillow.
Research machine learning algorithms and implement by tailoring to particular business needs.
Set up and maintain CI/CD pipelines, monitor model performance, and optimize infrastructure.
Collaborative work with cross-functional teams to embed AI/ML into web products.
MLOps: Knowledge of operational best practices for deploying, optimizing, and monitoring machine learning models in production.
Data Engineering: Proficient in data handling and ETL workflows using tools like SQL, Spark, and AWS S3 for effective data processing and integration
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