AI_ML-Manager - Operate
AI_ML-Manager - Operate
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Job Description
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Managed ServicesManagement Level
ManagerJob Description & Summary
At PwC our people in managed services focus on a variety of outsourced solutions and support clients across numerous functions. These individuals help organisations streamline their operations reduce costs and improve efficiency by managing key processes and functions on their behalf. They are skilled in project management technology and process optimization to deliver high-quality services to clients.Those in managed service management and strategy at PwC will focus on transitioning and running services along with managing delivery teams programmes commercials performance and delivery risk. Your work will involve the process of continuous improvement and optimising of the managed services process tools and services.
Enhancing your leadership style you motivate develop and inspire others to deliver quality. You are responsible for coaching leveraging team members unique strengths and managing performance to deliver on client expectations. With your growing knowledge of how business works you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills knowledge and experiences you need to lead and deliver value at this level include but are not limited to:
- Analyse and identify the linkages and interactions between the component parts of an entire system.
- Take ownership of projects ensuring their successful planning budgeting execution and completion.
- Partner with team leadership to ensure collective ownership of quality timelines and deliverables.
- Develop skills outside your comfort zone and encourage others to do the same.
- Effectively mentor others.
- Use the review of work as an opportunity to deepen the expertise of team members.
- Address conflicts or issues engaging in difficult conversations with clients team members and other stakeholders escalating where appropriate.
- Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance) the Firms code of conduct and independence requirements.
Job Overview
We are looking for a highly experienced AI/ML Manager with 7-9 years of hands-on experience in building custom AI/ML utilities to enhance the managed services ecosystem. The role will focus on maximizing GenAI adoption to automate tasks improve operational efficiency and reduce manual work. Additionally you will lead efforts to build custom AI/ML programs tailored to business needs aimed at driving continuous improvement and increasing automation within managed services particularly in SAP environments.
Key Responsibilities
- Maximize GenAI adoption to automate repetitive tasks enhance business processes and reduce manual intervention across managed services.
- Lead the design and development of custom AI/ML utilities aimed at automating processes improving data workflows and integrating intelligent decision-making into managed services operations.
- Build and deploy GenAI-based solutions to streamline service operations focusing on automating decision-making enhancing customer interactions and creating operational efficiencies.
- Work closely with clients to identify opportunities where AI/ML utilities can enhance SAP-managed services focusing on reducing human intervention in repetitive tasks.
- Collaborate with cross-functional teams to integrate custom AI models and GenAI-powered tools into existing systems and business workflows.
- Lead AI projects focused on building tailored AI/ML solutions that drive value for clients through increased automation efficiency and reduced operational costs.
- Develop custom machine learning models for various business use cases such as process optimization predictive analytics and automated decision-making within managed services.
- Focus on scaling and optimizing AI solutions to deliver tangible business outcomes particularly around reducing manual processes and improving operational speed.
- Stay ahead of AI/ML advancements applying emerging technologies to build smarter more efficient automation tools and frameworks.
Required Skills and Qualifications
- 7-9 years of hands-on experience in AI/ML development with a proven track record in building custom AI/ML utilities for business operations and managed services.
- Extensive experience in GenAI technologies (e.g. GPT BERT OpenAI) and applying them to real-world business processes to automate tasks and improve decision-making.
- Strong experience with Python programming for developing AI solutions automating workflows and creating custom utilities.
- Expertise in developing custom AI/ML models for business process automation predictive analytics and data-driven decision-making in managed services.
- Knowledge of cloud-based AI services such as AWS or Azure to build scale and deploy AI solutions.
- Proven ability to work closely with clients to identify AI/ML opportunities design solutions and implement them effectively.
- Experience in building deploying and integrating GenAI-based tools to automate and streamline business processes.
- Strong communication skills with the ability to translate complex technical concepts into actionable business outcomes for clients.
- Leadership experience in managing AI/ML teams and projects driving the development and deployment of AI-powered solutions.
Desired Skills and Qualifications
- Experience with machine learning frameworks such as TensorFlow PyTorch Scikit-learn or similar for training and deploying custom AI models.
- Familiarity with Agile methodologies for managing AI/ML projects and working cross-functionally with multiple teams.
- Strong understanding of data engineering and data pipelines to feed AI models with high-quality structured data.
- Exposure to AI ethics model governance and best practices in the deployment of AI solutions for business processes.
Experience Requirements
- At least 7-9 years of experience in AI/ML focusing on building custom AI/ML utilities and maximizing GenAI adoption for business automation and operational efficiency.
- Experience leading AI/ML projects with a focus on building AI solutions for reducing manual tasks and optimizing business processes.
Education Requirements
- Bachelors degree in Computer Science Engineering Information Technology or a related field.
- Advanced degrees (e.g. Masters PhD) in AI Machine Learning or related disciplines are a plus.
- Relevant AI/ML certifications (e.g. AWS Certified Machine Learning Specialty Azure AI certifications) are a plus.
Work Environment
- A dynamic collaborative team environment with the opportunity to lead AI-driven projects that transform managed services.
- Hybrid working model with a base in Bangalore offering flexibility to work from the office and remotely.
- Cross-functional collaboration with DevOps automation and integration teams to ensure seamless AI deployments.
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
Accepting Feedback Accepting Feedback Active Listening Analytical Thinking Automation Automation Framework Design and Development Automation Solutions Budgetary Management Business Process Automation (BPA) Business Process Improvement Business Process Outsourcing Business Transformation Coaching and Feedback Communication Continuous Process Improvement Creativity Data Quality Automation Deliverable Planning Delivery Excellence Design Automation Digital Transformation Embracing Change Emotional Regulation Empathy Inclusion 29 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
Required Experience:
Manager
Employment Type
Full-Time
