Data Scientist -- 100% Remote -- Full Time Position
Role : Data Scientist – GenAI & Agentic AI
Location : Remote
Key Responsibilities
• Build and deploy Machine Learning and Generative AI solutions
• Design multi-agent (Agentic AI) systems and workflows
• Develop LLM-based applications (chatbots, automation, reasoning systems)
• Implement RAG (Retrieval-Augmented Generation) pipelines
• Create scalable AI pipelines and architectures
• Integrate AI systems with APIs, databases, and enterprise tools
• Collaborate with engineering and product teams
Required Skills
Experience
• 7+ years in Data Science / ML / AI
• 3+ years with Generative AI / LLMs
• Experience with agent-based or autonomous AI systems
Technical Skills
• Strong Python and Machine Learning fundamentals
• Experience with LLMs (GPT, Claude, LLaMA, etc.)
• Knowledge of:
• Prompt engineering
• RAG architectures
• Context and memory handling
Tools & Frameworks
• One or more:
• LangChain
• LangGraph
• AutoGen
• CrewAI
• Semantic Kernel
Data & Cloud
• Vector databases (FAISS, Pinecone, etc.)
• APIs and microservices
• Cloud platforms (AWS / Azure / Google Cloud Platform)
Nice to Have
• Experience with multi-agent system design
• MLOps and CI/CD pipelines
• Distributed systems and scalable architectures
Apply tot his job
Apply To this Job
Location : Remote
Key Responsibilities
• Build and deploy Machine Learning and Generative AI solutions
• Design multi-agent (Agentic AI) systems and workflows
• Develop LLM-based applications (chatbots, automation, reasoning systems)
• Implement RAG (Retrieval-Augmented Generation) pipelines
• Create scalable AI pipelines and architectures
• Integrate AI systems with APIs, databases, and enterprise tools
• Collaborate with engineering and product teams
Required Skills
Experience
• 7+ years in Data Science / ML / AI
• 3+ years with Generative AI / LLMs
• Experience with agent-based or autonomous AI systems
Technical Skills
• Strong Python and Machine Learning fundamentals
• Experience with LLMs (GPT, Claude, LLaMA, etc.)
• Knowledge of:
• Prompt engineering
• RAG architectures
• Context and memory handling
Tools & Frameworks
• One or more:
• LangChain
• LangGraph
• AutoGen
• CrewAI
• Semantic Kernel
Data & Cloud
• Vector databases (FAISS, Pinecone, etc.)
• APIs and microservices
• Cloud platforms (AWS / Azure / Google Cloud Platform)
Nice to Have
• Experience with multi-agent system design
• MLOps and CI/CD pipelines
• Distributed systems and scalable architectures
Apply tot his job
Apply To this Job