Sustainability- Technology & Innovation - ML, AI & Gen AI - Manager

Bangalore (SDC) - Bagmane Tech Park, India

PwC

We are a community of solvers combining human ingenuity, experience and technology innovation to help organisations build trust and deliver sustained outcomes.

View all jobs at PwC

Apply now Apply later

Line of Service

Internal Firm Services

Industry/Sector

Not Applicable

Specialism

IFS - Internal Firm Services - Other

Management Level

Manager

Job Description & Summary

At PwC, our people in software and product innovation focus on developing cutting-edge 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 cutting-edge applications that revolutionise industries and deliver exceptional user experiences.

Job Description: Generative AI Technical Lead Developer: AI + ML+NLP with Generative AI (9-12 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 9-12 years of hands-on experience in analyzing data, building advanced analytics models, and leveraging cutting-edge 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 high-performance architectures for Generative AI applications.  

  • Integrate Generative AI models into existing platforms, ensuring compatibility and performance optimization.  

Model Development and Deployment:  

  • Fine-tune pre-trained generative models for domain-specific 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 K-means 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 cross-functional 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 large-scale 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, Scikit-learn, etc.). 

  • Should have strong knowledge on LLM’s foundational model (OpenAI GPT4o, O1, Claude, Gemini etc), while need to have strong knowledge on opensource Model’s like Llama 3.2, Phi etc.  

  • Proven track record with event-driven architectures and real-time 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 fine-tuning. 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, problem-solving, and analytical abilities.  

  • Superior communication and collaboration skills, with experience managing high-performing teams.  

  • Ability to operate effectively in a dynamic, fast-paced 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 / B.Tech / MCA / M.Sc / M.E / M.Tech  

 

 

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 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

0%

Available for Work Visa Sponsorship?

No

Government Clearance Required?

No

Job Posting End Date

Apply now Apply later

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: AI strategy APIs Architecture AWS Azure CI/CD Claude Computer Science Data management Deep Learning DevOps Docker Engineering GCP Gemini Generative AI Generative modeling Kubernetes LangChain LLaMA LLMOps LLMs Machine Learning ML models NLP OpenAI Privacy Prompt engineering Python PyTorch R Responsible AI Scala Scikit-learn Spark Splunk TensorFlow

Perks/benefits: Career development

Region: Asia/Pacific
Country: India

More jobs like this