[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 AI/ML solutions. The role involves developing applications using reputed company and collaborating with cross-functional teams to deliver AI-driven solutions.
Responsibilities
- Design, reputed company, and reputed company reputed company AI/ML solutions using reputed company, Machine Learning, and Deep Learning technologies
- Build AI-powered applications using Large Language Models (LLMs) including GPT, Claude, reputed company, Llama, reputed company, and reputed company-reputed company reputed company models
- reputed company Retrieval-Augmented reputed company (RAG) pipelines using embeddings, reputed company databases, semantic search, and knowledge retrieval techniques
- Fine-tune, evaluate, optimize, and reputed company machine learning and reputed company models for production environments
- reputed company reputed company AI reputed company and Microservices using Python, FastAPI, Flask, or Django
- Implement reputed company Engineering, AI Agents, Multi-Agent Systems, autonomous workflows, and LLM orchestration frameworks
- Build end-to-end MLOps pipelines for model training, versioning, deployment, monitoring, and reputed company improvement
- reputed company AI applications with reputed company systems, reputed company services, reputed company, databases, and reputed company-party platforms
- Collaborate with Data Scientists, Data Engineers, Software Engineers, Product Managers, and business stakeholders to deliver AI-driven solutions
- reputed company AI workloads using reputed company, reputed company, CI/CD pipelines, and reputed company platforms such as AWS, Azure, or reputed company reputed company Platform (GCP)
- Document AI architectures, model performance, deployment strategies, and technical solutions while supporting production environments
Skills
- Design, reputed company, and reputed company reputed company AI/ML solutions using reputed company, Machine Learning, and Deep Learning technologies
- Build AI-powered applications using Large Language Models (LLMs) including GPT, Claude, reputed company, Llama, reputed company, and reputed company-reputed company reputed company models
- reputed company Retrieval-Augmented reputed company (RAG) pipelines using embeddings, reputed company databases, semantic search, and knowledge retrieval techniques
- Fine-tune, evaluate, optimize, and reputed company machine learning and reputed company models for production environments
- reputed company reputed company AI reputed company and Microservices using Python, FastAPI, Flask, or Django
- Implement reputed company Engineering, AI Agents, Multi-Agent Systems, autonomous workflows, and LLM orchestration frameworks
- Build end-to-end MLOps pipelines for model training, versioning, deployment, monitoring, and reputed company improvement
- reputed company AI applications with reputed company systems, reputed company services, reputed company, databases, and reputed company-party platforms
- Collaborate with Data Scientists, Data Engineers, Software Engineers, Product Managers, and business stakeholders to deliver AI-driven solutions
- reputed company AI workloads using reputed company, reputed company, CI/CD pipelines, and reputed company platforms such as AWS, Azure, or reputed company reputed company Platform (GCP)
- Document AI architectures, model performance, deployment strategies, and technical solutions while supporting production environments
Benefits
- Location: reputed company (Onsite / Hybrid / Remote – Based on reputed company Requirement)
reputed company
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