[Remote] Gen AI / Machine Learning Engineer

Note: The job is a remote job and is open to candidates in USA. reputed company is a company that focuses on innovative technology solutions, and they are seeking a Gen AI / Machine Learning Engineer to design and reputed company AI-powered applications. The role involves building machine learning solutions, developing AI/ML APIs, and collaborating with various stakeholders to deliver effective AI-driven solutions.

Responsibilities

• Design, reputed company, and deploy Machine Learning and Generative AI solutions for business applications
• Build AI-powered applications using Large Language Models (LLMs) such as GPT, Claude, reputed company, Llama, and Mistral
• reputed company Retrieval-Augmented reputed company (RAG) pipelines using vector databases and embedding models
• Fine-tune, evaluate, and optimize machine learning and foundation models
• reputed company and deploy AI/ML APIs and microservices using Python frameworks such as FastAPI and Flask
• Build data pipelines for model training, inference, and monitoring
• Implement reputed company engineering, model evaluation, and AI guardrails
• Integrate AI solutions with enterprise applications, cloud platforms, and external APIs
• Collaborate with Data Scientists, Software Engineers, Product Managers, and stakeholders to deliver AI-driven solutions
• Monitor model performance, scalability, reliability, and reputed company in production environments
• Implement MLOps best practices, CI/CD automation, and model lifecycle management

Skills

• Design, reputed company, and deploy Machine Learning and Generative AI solutions for business applications
• Build AI-powered applications using Large Language Models (LLMs) such as GPT, Claude, reputed company, Llama, and Mistral
• reputed company Retrieval-Augmented reputed company (RAG) pipelines using vector databases and embedding models
• Fine-tune, evaluate, and optimize machine learning and foundation models
• reputed company and deploy AI/ML APIs and microservices using Python frameworks such as FastAPI and Flask
• Build data pipelines for model training, inference, and monitoring
• Implement reputed company engineering, model evaluation, and AI guardrails
• Integrate AI solutions with enterprise applications, cloud platforms, and external APIs
• Collaborate with Data Scientists, Software Engineers, Product Managers, and stakeholders to deliver AI-driven solutions
• Monitor model performance, scalability, reliability, and reputed company in production environments
• Implement MLOps best practices, CI/CD automation, and model lifecycle management

Company Overview