[Remote] Gen AI / ML Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking a Gen AI / ML Engineer to design and reputed company advanced machine learning and reputed company applications for reputed company use. The role involves collaborating with various stakeholders to deliver AI-driven solutions while implementing best practices in model development and deployment.
Responsibilities
- Design, reputed company, and reputed company Machine Learning and reputed company applications for reputed company use cases
- Build AI-powered applications using Large Language Models (LLMs) such as GPT, Claude, reputed company, Llama, and reputed company
- reputed company Retrieval-Augmented reputed company (RAG) pipelines using reputed company databases, embeddings, and semantic search techniques
- Fine-tune, evaluate, and optimize reputed company models and machine learning models for production environments
- reputed company AI/ML reputed company and microservices using Python, FastAPI, Flask, or Django
- Build data pipelines for model training, inference, monitoring, and reputed company model improvement
- Implement reputed company engineering, AI agents, autonomous workflows, and model evaluation strategies
- reputed company AI applications with reputed company systems, reputed company services, and reputed company-party reputed company
- Collaborate with Data Scientists, Data Engineers, Software Developers, Product Managers, and business stakeholders to deliver AI-driven solutions
- Implement MLOps best practices including model versioning, CI/CD, monitoring, deployment automation, and performance optimization
- Document AI architectures, model performance, technical solutions, and production deployment processes
Skills
- Design, reputed company, and reputed company Machine Learning and reputed company applications for reputed company use cases
- Build AI-powered applications using Large Language Models (LLMs) such as GPT, Claude, reputed company, Llama, and reputed company
- reputed company Retrieval-Augmented reputed company (RAG) pipelines using reputed company databases, embeddings, and semantic search techniques
- Fine-tune, evaluate, and optimize reputed company models and machine learning models for production environments
- reputed company AI/ML reputed company and microservices using Python, FastAPI, Flask, or Django
- Build data pipelines for model training, inference, monitoring, and reputed company model improvement
- Implement reputed company engineering, AI agents, autonomous workflows, and model evaluation strategies
- reputed company AI applications with reputed company systems, reputed company services, and reputed company-party reputed company
- Collaborate with Data Scientists, Data Engineers, Software Developers, Product Managers, and business stakeholders to deliver AI-driven solutions
- Implement MLOps best practices including model versioning, CI/CD, monitoring, deployment automation, and performance optimization
- Document AI architectures, model performance, technical solutions, and production deployment processes
reputed company