3 Openai Gpt4O Jobs

At PwC, our team focused on data and analytics applies data to drive insights and guide strategic business decisions. Utilizing advanced analytics techniques, we assist clients in optimizing operations and achieving their goals. As a member of our data analysis team, you will specialize in leveraging sophisticated analytical methods to extract valuable insights from extensive datasets, enabling data-driven decision-making. Your role will involve utilizing skills in data manipulation, visualization, and statistical modeling to support clients in resolving intricate business challenges. We are seeking a visionary Generative AI Architect at the Manager level to join PwC US - Acceleration Center. In this leadership position, you will be responsible for designing and implementing cutting-edge Generative AI solutions using technologies such as Azure OpenAI Service, GPT models, and multi-agent frameworks. Your role will involve driving innovation through scalable cloud architectures, optimizing AI infrastructure, and leading cross-functional teams in deploying transformative AI solutions. The ideal candidate will possess deep expertise in Generative AI technologies, data engineering, Agentic AI, and cloud platforms like Microsoft Azure, with a strong emphasis on operational excellence and ethical AI practices. Responsibilities: - **Architecture Design:** Design and implement scalable, secure, and high-performance architectures for Generative AI applications. Integrate Generative AI models into existing platforms and lead the development of AI agents capable of orchestrating multi-step tasks. - **Model Development And Deployment:** Fine-tune pre-trained generative models, develop data collection and preparation strategies, and deploy appropriate Generative AI frameworks. - **Innovation And Strategy:** Stay updated on the latest Generative AI advancements, recommend innovative applications, and define and execute AI strategy roadmaps. - **Collaboration And Leadership:** Collaborate with cross-functional teams, mentor team members, and lead a team of data scientists, GenAI engineers, devops, and software developers. - **Performance Optimization:** Monitor and optimize the performance of AI models, agents, and systems to ensure robustness and accuracy, as well as optimize computational costs and infrastructure utilization. - **Ethical And Responsible AI:** Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks, and implement safeguards against bias and misuse. Requirements: - Bachelors or masters degree in computer science, Data Science, or related field. - 8+ years of relevant technical/technology experience, with expertise in GenAI projects. - Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. - Experience with GenAI foundational models and open-source models. - Proficiency in system design for Agentic architecture and real-time data processing systems. - Familiarity with cloud computing platforms and containerization technologies. - Strong leadership, problem-solving, and analytical abilities. - Excellent communication and collaboration skills. Nice To Have Skills: - Experience with technologies like Datadog and Splunk. - Familiarity with emerging Model Context Protocols and dynamic tool integration. - Relevant solution architecture certificates and continuous professional development in data engineering and GenAI. Professional And Educational Background: BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA/ Any Degree.,

At PwC, the focus is on leveraging data to drive insights and make informed business decisions in the field of data and analytics. The team utilizes advanced analytics techniques to help clients optimize their operations and achieve strategic goals. As a Data Analyst at PwC, your role will involve utilizing advanced analytical techniques to extract insights from large datasets and facilitate data-driven decision-making. Your responsibilities will include data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. With a minimum of 12 years of hands-on experience, you will be responsible for designing and implementing scalable, secure, and high-performance architectures for Generative AI applications. This involves integrating Generative AI models into existing platforms, fine-tuning pre-trained generative models for domain-specific use cases, and developing strategies for data collection, sanitization, and preparation. You will also be evaluating, selecting, and deploying appropriate Generative AI frameworks such as PyTorch, TensorFlow, Crew AI, Autogen, Langraph, Agentic code, and Agentflow. Staying abreast of the latest advancements in Generative AI and recommending innovative applications to solve complex business problems is crucial. You will define and execute the AI strategy roadmap, identifying key opportunities for AI transformation. Collaboration with cross-functional teams, mentoring team members on AI/ML best practices, and making architectural decisions are essential aspects of the role. Monitoring the performance of deployed AI models and systems, optimizing computational costs, and ensuring compliance with ethical AI practices and data privacy regulations are key responsibilities. Safeguards must be implemented to mitigate bias, misuse, and unintended consequences of Generative AI. Required skills for this role include advanced programming skills in Python, proficiency in data processing frameworks like Apache Spark, knowledge of LLMs foundational models, experience with event-driven architectures, familiarity with Azure DevOps and other LLMOps tools, expertise in Azure OpenAI Service and vector DBs, containerization technologies like Kubernetes and Docker, comprehension of data lakes and data management strategies, proficiency in cloud computing platforms like Azure or AWS, exceptional leadership, problem-solving, and analytical abilities, superior communication and collaboration skills, and the ability to operate effectively in a dynamic environment. Nice-to-have skills include experience with technologies like Datadog and Splunk, possession of relevant solution architecture certificates, and continuous professional development in data engineering and GenAI. A professional and educational background in any graduate / BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA is required for this role.,

At PwC, the focus is on leveraging data to drive insights and make informed business decisions in the field of data and analytics. Utilizing advanced analytics techniques, you will assist clients in optimizing their operations and achieving strategic goals. As a data analyst at PwC, your primary tasks will involve extracting insights from large datasets and facilitating data-driven decision-making. Your role will require skills in data manipulation, visualization, and statistical modeling to help clients solve complex business problems effectively. With a minimum of 12 years of hands-on experience, the responsibilities associated with this position include: Architecture Design: - Designing and implementing scalable, secure, and high-performance architectures for Generative AI applications. - Integrating Generative AI models into existing platforms, focusing on compatibility and performance optimization. Model Development and Deployment: - Fine-tuning pre-trained generative models for domain-specific use cases. - Developing data collection, sanitization, and data preparation strategies for model fine-tuning. - Evaluating, selecting, and deploying appropriate Generative AI frameworks like PyTorch, TensorFlow, Crew AI, Autogen, Langraph, Agentic code, and Agentflow. Innovation and Strategy: - Staying updated with the latest advancements in Generative AI to recommend innovative applications for solving complex business problems. - Defining and executing the AI strategy roadmap while identifying key opportunities for AI transformation. Collaboration and Leadership: - Collaborating with cross-functional teams, including data scientists, engineers, and business stakeholders. - Mentoring and guiding team members on AI/ML best practices and architectural decisions. Performance Optimization: - Monitoring the performance of deployed AI models and systems to ensure robustness and accuracy. - Optimizing computational costs and infrastructure utilization for large-scale deployments. Ethical and Responsible AI: - Ensuring compliance with ethical AI practices, data privacy regulations, and governance frameworks. - Implementing safeguards to mitigate bias, misuse, and unintended consequences of Generative AI. Required Skills: - Advanced programming skills in Python with fluency in data processing frameworks like Apache Spark. - Strong knowledge of LLMs foundational models and open-source models like Llama 3.2, Phi, etc. - Proven track record with event-driven architectures and real-time data processing systems. - Familiarity with Azure DevOps and LLMOps tools for operationalizing AI workflows. - Deep experience with Azure OpenAI Service, vector DBs, API integrations, prompt engineering, and model fine-tuning. - Knowledge of containerization technologies such as Kubernetes and Docker. - Comprehensive understanding of data lakes and data management strategies. - Expertise in LLM frameworks including Langchain, Llama Index, and Semantic Kernel. - Proficiency in cloud computing platforms like Azure or AWS. - Exceptional leadership, problem-solving, and analytical abilities. - Strong communication and collaboration skills with experience managing high-performing teams. Nice to Have Skills: - Experience with additional technologies such as Datadog and Splunk. - Possession of relevant solution architecture certificates and continuous professional development in data engineering and GenAI. Professional and Educational Background: - Any graduate/BE/B.Tech/MCA/M.Sc/M.E/M.Tech/Masters Degree/MBA.,