National Delivery Excellence-AI Engineer-Full Stack-Manager

As a Manager in the Data Science and Machine Learning Engineering team at PwC, you will be focusing on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. Your role will involve developing predictive models, conducting statistical analysis, and creating data visualizations to solve complex business problems. You will play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

• *Key Responsibilities:**
• Architect and implement AI-integrated applications at scale
• Lead project teams to secure successful solution delivery
• Drive performance and security across various deployments
• Mentor team members in technical and project management skills
• Collaborate with stakeholders to define project requirements
• Analyze and enhance application performance and scalability
• Embrace innovative technologies to improve project outcomes
• Uphold exemplary practices in software development and engineering
• *Qualifications Required:**
• Bachelor's Degree
• 6 years of experience
• Oral and written proficiency in English required
• Certifications in AI/ML, Deep Learning and NLP from Learning platforms such as Coursera, Udemy or equivalent
• Certifications on Cloud Architecture (GCP/Azure/AWS)

You must have hands-on experience on React, Node or Python, AI, Gen AI, LLM, ML, and designing and building AI applications. Additionally, familiarity with cloud platforms, container orchestration, frameworks like LangChain and LangGraph, integrating Azure OpenAI and other AI models, event-driven systems and messaging, and certifications in AI/ML and Cloud Architecture will set you apart.

At PwC Acceleration Centers (ACs), you will actively support various services and engage in challenging projects to enhance quality and innovation. You will lead teams and projects, promoting successful implementation of innovative solutions while driving performance and security across cloud-native and on-prem deployments. Dynamic and digitally enabled training will be provided to grow your technical and professional skills.

Working at PwC, you will have the opportunity to enhance your leadership style, motivate, develop, and inspire others to deliver quality. You are expected to lead with integrity and authenticity, articulating the firm's purpose and values in a meaningful way. Additionally, you will play an important role in identifying opportunities that contribute to the success of the firm.

No additional details of the company were mentioned in the job description. As a Manager in the Data Science and Machine Learning Engineering team at PwC, you will be focusing on leveraging advanced analytics and machine learning techniques to extract insights from large datasets and drive data-driven decision making. Your role will involve developing predictive models, conducting statistical analysis, and creating data visualizations to solve complex business problems. You will play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.

• *Key Responsibilities:**
• Architect and implement AI-integrated applications at scale
• Lead project teams to secure successful solution delivery
• Drive performance and security across various deployments
• Mentor team members in technical and project management skills
• Collaborate with stakeholders to define project requirements
• Analyze and enhance application performance and scalability
• Embrace innovative technologies to improve project outcomes
• Uphold exemplary practices in software development and engineering
• *Qualifications Required:**
• Bachelor's Degree
• 6 years of experience
• Oral and written proficiency in English required
• Certifications in AI/ML, Deep Learning and NLP from Learning platforms such as Coursera, Udemy or equivalent
• Certifications on Cloud Architecture (GCP/Azure/AWS)

You must have hands-on experience on React, Node or Python, AI, Gen AI, LLM, ML, and designing and building AI applications. Additionally, familiarity with cloud platforms, container orchestration, frameworks like LangChain and LangGraph, integrating Azure OpenAI and other AI models, event-driven systems and messaging, and certifications in AI/ML and Cloud Architecture will set you apart.

At PwC Acceleration Centers (ACs), you will actively support various services and engage in challenging projects to enhance quality and innovation. You will lead teams and projects, promoting successful implementation of innovative solutions while driving performance and security across cloud-native and on-prem deployments. Dynamic and digitally enabled training will be provided to grow your technical and professional skills.

Working at PwC, you will have the opportunity to enhance your leadership style, motivate, develop, and inspire others to deliver quality. You are expected to lead with