Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Product Innovation

Management Level

Senior Associate

Job Description & Summary

A career within our Infrastructure practice will provide you with the opportunity to design, build, coordinate and maintain the IT environments for clients to run internal operations, collect data, monitor, develop and launch products. Infrastructure management consists of hardware, storage, compute, network and software layers.

As a part of our Infrastructure Engineering team, you will be responsible for maintaining the critical IT systems which includes build, run and maintenance while providing technical support and training that aligns to industry leading practices.

To really stand out and make us fit for the future in a constantly changing world, each and every one of us at PwC needs to be a purpose-led and values-driven leader at every level. To help us achieve this we have the PwC Professional; our global leadership development framework. It gives us a single set of expectations across our lines, geographies and career paths, and provides transparency on the skills we need as individuals to be successful and progress in our careers, now and in the future.

As a Senior Associate, you'll work as part of a team of problem solvers, helping to solve complex business issues from strategy to execution. PwC Professional skills and responsibilities for this management level include but are not limited to:

Use feedback and reflection to develop self awareness, personal strengths and address development areas.Delegate to others to provide stretch opportunities, coaching them to deliver results.Demonstrate critical thinking and the ability to bring order to unstructured problems.Use a broad range of tools and techniques to extract insights from current industry or sector trends.Review your work and that of others for quality, accuracy and relevance.Know how and when to use tools available for a given situation and can explain the reasons for this choice.Seek and embrace opportunities which give exposure to different situations, environments and perspectives.Use straightforward communication, in a structured way, when influencing and connecting with others.Able to read situations and modify behavior to build quality relationships.Uphold the firm's code of ethics and business conduct.

AI Engineer

Overview

We are seeking an exceptional AI Engineer to drive the development, optimization, and deployment of cutting-edge generative AI solutions for our clients. This role is at the forefront of applying generative models to solve real-world business challenges, requiring deep expertise in both the theoretical underpinnings and practical applications of generative AI.

Core Qualifications

Advanced degree (MS/PhD) in Computer Science, Machine Learning, or related field with a focus on generative models

3+ years of hands-on experience developing and deploying AI models in production environments with 1 year of experience in developing generative AI pilots, proofs of concept, and prototypes

Deep understanding of state-of-the-art AI architectures (e.g., Transformers, VAEs, GANs, Diffusion Models)

Expertise in PyTorch or TensorFlow, with a preference for experience in both

Proficiency in Python and software engineering best practices for AI systems

Technical Skills

Required

Demonstrated experience with large language models (LLMs) such as GPT, BERT, T5, etc.

Practical understanding of generative AI frameworks (e.g., Hugging Face Transformers, OpenAI GPT, DALL-E)

Familiarity with prompt engineering and few-shot learning techniques

Expertise in MLOps and LLMOps practices, including CI/CD for ML models

Strong knowledge of one or more cloud-based AI services (e.g., AWS SageMaker, Azure ML, Google Vertex AI)

Preferred

Proficiency in optimizing generative models for inference (quantization, pruning, distillation)

Experience with distributed training of large-scale AI models

Experience with model serving technologies (e.g., TorchServe, TensorFlow Serving, Triton Inference Server)

Key Responsibilities

Architect and implement end-to-end generative AI solutions, from data preparation to production deployment

Develop custom AI models and fine-tune pre-trained models for specific client use cases

Optimize generative models for production, balancing performance, latency, and resource utilization

Design and implement efficient data pipelines for training and serving generative models

Develop strategies for effective prompt engineering and few-shot learning in production systems

Implement robust evaluation frameworks for generative AI outputs

Collaborate with cross-functional teams to integrate generative AI capabilities into existing systems

Address challenges related to bias, fairness, and ethical considerations in generative AI applications

Project Delivery

Lead the technical aspects of generative AI projects from pilot to production

Develop proof-of-concepts and prototypes to demonstrate the potential of generative AI in solving client problems

Conduct technical feasibility studies for applying generative AI to novel use cases

Implement monitoring and observability solutions for deployed generative models

Troubleshoot and optimize generative AI systems in production environments

Client Engagement

Provide expert technical guidance on generative AI capabilities and limitations to clients

Collaborate with solution architects to design generative AI-powered solutions that meet client needs

Present technical approaches and results to both technical and non-technical stakeholders

Assist in scoping and estimating generative AI projects

Innovation and Knowledge Sharing

Stay at the forefront of generative AI research and industry trends

Contribute to the company's intellectual property through patents or research publications

Develop internal tools and frameworks to accelerate generative AI development

Mentor junior team members on generative AI technologies and best practices

Contribute to technical blog posts and whitepapers on generative AI applications

The ideal candidate will have a proven track record of successfully deploying AI models in production environments, a deep understanding of the latest advancements in generative AI, and the ability to apply this knowledge to solve complex business problems. They should be passionate about pushing the boundaries of what's possible with generative AI and excited about the opportunity to shape the future of AI-driven solutions for our clients.

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:

Degrees/Field of Study preferred:

Certifications (if blank, certifications not specified)

Required Skills

Optional Skills

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

December 2, 2024