Line of Service
Advisory
Industry/Sector
Not Applicable
Specialism
Risk
Management Level
ManagerAt PwC, our people in audit and assurance focus on providing independent and objective assessments of financial statements, internal controls, and other assurable information enhancing the credibility and reliability of this information with a variety of stakeholders. They evaluate compliance with regulations including assessing governance and risk management processes and related controls.Those in internal audit at PwC help build, optimise and deliver end-to-end internal audit services to clients in all industries. This includes IA function setup and transformation, co-sourcing, outsourcing and managed services, using AI and other risk technology and delivery models. IA capabilities are combined with other industry and technical expertise, in areas like cyber, forensics and compliance, to address the full spectrum of risks. This helps organisations to harness the power of IA to help the organisation protect value and navigate disruption, and obtain confidence to take risks to power growth.
At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us.At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firms growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. "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.
Mandatory Skill Set:
- 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 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 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.
Preferred Skill Set:
- 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 Gen AI.
Year Of Experience Required:
9-12 years
Education Qualification
- 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: Bachelor of Technology, Bachelor of Engineering
Degrees/Field Of Study Preferred:
Certifications
(if blank, certifications not specified)
Required Skills
Python (Programming Language)
Optional Skills
Accepting Feedback, Accepting Feedback, Accounting and Financial Reporting Standards, Active Listening, Analytical Thinking, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Business Process Improvement, Coaching and Feedback, Communication, Compliance Auditing, Corporate Governance, Creativity, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Financial Accounting + 29 more
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
