Sustainability- Technology Innovation - ML AI Gen AI - Manager
Sustainability- Technology Innovation - ML AI Gen AI - Manager
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Job Description
Line of Service
Internal Firm ServicesIndustry/Sector
Not ApplicableSpecialism
IFS Internal Firm Services OtherManagement Level
ManagerJob Description & Summary
At PwC our people in software and product innovation focus on developing cuttingedge software solutions and driving product innovation to meet the evolving needs of clients. These individuals combine technical experience with creative thinking to deliver innovative software products and solutions.Those in software engineering at PwC will focus on developing innovative software solutions to drive digital transformation and enhance business performance. In this field you will use your knowledge to design code and test cuttingedge applications that revolutionise industries and deliver exceptional user experiences.
Job Description: Generative AI Technical Lead Developer: AI MLNLP with Generative AI 912 Years Experience)
Position Overview: We are seeking an experienced and dynamic Lead Developer with a strong background in Machine Learning (ML) Artificial Intelligence (AI) and Generative AI to join our team. The ideal candidate will have 912 years of handson experience in analyzing data building advanced analytics models and leveraging cuttingedge AI and Generative AI technologies to derive actionable insights. This role requires a combination of deep technical expertise strong analytical capabilities and a proven ability to work in a collaborative and innovative environment.
Responsibilities:
Architecture Design:
Design and implement scalable secure and highperformance architectures for Generative AI applications.
Integrate Generative AI models into existing platforms ensuring compatibility and performance optimization.
Model Development and Deployment:
Finetune pretrained generative models for domainspecific use cases.
Data Collection Sanitization and Data Preparation strategy for Model fine tuning.
Well versed with machine learning algorithms like Supervised unsupervised and Reinforcement learnings Deep learning.
Well versed with ML models like Linear regression Decision trees Gradient boosting Random Forest and Kmeans etc.
Evaluate select and deploy appropriate Generative AI frameworks (e.g. PyTorch TensorFlow Crew AI Autogen Langraph Agentic code Agent flow.
Innovation and Strategy:
Stay up to date with the latest advancements in Generative AI and recommend innovative applications to solve complex business problems.
Define and execute the AI strategy roadmap identifying key opportunities for AI transformation.
Good exposure to Agentic Design patterns
Collaboration and Leadership:
Collaborate with crossfunctional teams including data scientists engineers and business stakeholders.
Mentor and guide team members on AI/ML best practices and architectural decisions.
Should be able to lead a team of data scientists GenAI engineers and Software Developers.
Performance Optimization:
Monitor the performance of deployed AI models and systems ensuring robustness and accuracy.
Optimize computational costs and infrastructure utilization for largescale deployments.
Ethical and Responsible AI:
Ensure compliance with ethical AI practices data privacy regulations and governance frameworks.
Implement safeguards to mitigate bias misuse and unintended consequences of Generative AI.
Required Skills:
Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark.
Experience with machine learning artificial Intelligence frameworks models and libraries (TensorFlow PyTorch Scikitlearn etc..
Should have strong knowledge on LLMs foundational model (OpenAI GPT4o O1 Claude Gemini etc while need to have strong knowledge on opensource Models like Llama 3.2 Phi etc.
Proven track record with eventdriven architectures and realtime data processing systems.
Familiarity with Azure DevOps and other LLMOps tools for operationalizing AI workflows.
Deep experience with Azure OpenAI Service and vector DBs including API integrations prompt engineering and model finetuning. Or equivalent tech in AWS/GCP.
Knowledge of containerization technologies such as Kubernetes and Docker.
Comprehensive understanding of data lakes and strategies for data management.
Expertise in LLM frameworks including Langchain Llama Index and Semantic Kernel.
Proficiency in cloud computing platforms such as Azure or AWS.
Exceptional leadership problemsolving and analytical abilities.
Superior communication and collaboration skills with experience managing highperforming teams.
Ability to operate effectively in a dynamic fastpaced environment.
Nice to Have Skills:
Experience with additional technologies such as Datadog and Splunk.
Programming languages like C# R Scala
Possession of relevant solution architecture certificates and continuous professional development in data engineering and GenAI.
Professional and Educational Background:
BE / / MCA / / M.E /
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
Acceptance Test Driven Development (ATDD) Acceptance Test Driven Development (ATDD) Accepting Feedback Active Listening Analytical Thinking API Management Application Development Application Frameworks Application Lifecycle Management Application Software Business Process Improvement Business Process Management (BPM) Business Requirements Analysis C Programming Language Client Management Coaching and Feedback Code Review Coding Standards Communication Computer Engineering Computer Science Continuous Integration/Continuous Delivery (CI/CD) Creativity Debugging Embracing Change 35 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
0Available for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
Manager
Employment Type
Full-Time
