6 Crew.Ai Jobs

Key Responsibilities Design, build, and productionize scalable ML/GenAI models and pipelines with a focus on reliability and precision Develop retrieval-augmented generation (RAG) pipelines and agentic systems using advanced LLMs Fine-tune, optimize, and deploy transformer-based models (GPT, Llama, Mistral, etc.) for enterprise use cases Architect and implement multi-agent frameworks (tool-augmented reasoning, orchestration, memory management) Deliver robust APIs and services for ML/GenAI models with performance and cost optimization in mind Collaborate with software engineers and DevOps teams to scale AI systems across environments (cloud, hybrid, on-prem) Drive automation in model deployme...

Line of Service Advisory Industry/Sector Not Applicable Specialism Operations Management Level Director Job Description & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Those in intelligent automation at PwC will focus on conducting process mining, designing next generation small- and large-scale automation solutions, and implementing intelligent process automation, robotic process automation and digital workflow solutions to hel...

Job Title: Data Scientist Agentic AI & MLOps Location: Bangalore - Hybrid (3 days work from office, 2 days from home) About Us: Our client delivers next-generation security analytics and operations management. They secure organisations worldwide by staying ahead of cyber threats, leveraging AI-reinforced capabilities for unparalleled protection. Job Overview: Were seeking a Senior Data Scientist to architect agentic AI solutions and own the full ML lifecyclefrom proof-of-concept to production. Youll operationalise LLMs, build agentic workflows, implement MLOps best practices, and design multi-agent systems for cybersecurity tasks. Key Responsibilities: Operationalise large language models an...

We are looking for a Senior Data Scientist to lead the development of agentic AI solutions and oversee the entire ML lifecycle, from initial concepts to deployment. The role involves operationalizing large language models, creating agentic workflows, implementing MLOps best practices, and constructing multi-agent systems for cybersecurity tasks. **Key Responsibilities:** - Implement LangChain, LangGraph, LlamaIndex, and Crew.AI to automate security decision-making and threat response. - Develop multi-agent AI systems for log analysis, anomaly detection, and incident response. - Create GenAI solutions and transition them into production-ready components on AWS using best practices. - Establis...

Job Title: GenAI Engineer (with Azure and GCP ecosystems) Duration: Full time role Location: Pune (Hybrid) Need someone who can join immediately OR at least in 30 days. Need someone who can join immediately OR at least in 30 days. Job description: GenAI Engineer with Azure and GCP ecosystems Skilled in Building complex GenAI solutions with high accuracy and complex use cases Skilled in Agentic platforms from procode (e.g. Autogen, Semantic Kernel, LangGraph) to Low Code (e.g. Crew.ai/EMA.ai). Skilled in Azure OpenAI and Google Vertex AI ecosystems and tooling (from training model, advance prompting, Assistant API, to agent curation). Fluent in Python, Llamaindex, Langchain, or other GenAI pa...

Role: ML Engineer. Exp : 5 Years to 10 Years Location : Hyderabad. Job Overview: Were seeking a ML Engineer / Data Scientist to architect agentic AI solutions and own the full ML lifecycle—from proof-of-concept to production. You’ll operationalize LLMs, build agentic workflows, implement MLOps best practices, and design multi-agent systems for cybersecurity tasks. Key Responsibilities: Operationalize large language models and agentic workflows (LangChain, LangGraph, LlamaIndex) to automate security decision-making and threat response. Design, deploy, and maintain multi-agent AI systems for log analysis, anomaly detection, and incident response. Build proof-of-concept GenAI solutions and evol...