AI Engineer-Associate Consultant – Are you passionate about building your career in the AI Engineer then KPMG is hiring the AI Engineer-Associate Consultant for its fast growing team. This is a full time opportunity and based in Bengaluru, Pune, Goregaon and offering The Good CTC. For deeper insights, read the full article and connect on LinkedIn.
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About the KPMG Company
KPMG is a dominant global leader in professional services, renowned as one of the elite Big Four accounting firms. The organization delivers top-tier audit, tax, and advisory solutions to major corporations, governments, and non-profits worldwide. By combining deep industry expertise with cutting-edge digital transformation strategies, they help clients mitigate financial risk, maintain regulatory compliance, and unlock sustainable growth. Today, the firm heavily prioritizes ESG (Environmental, Social, and Governance) initiatives and AI-driven analytics to guide businesses through complex, modern economic landscapes.
- Role : AI Engineer-Associate Consultant
- Location : Bengaluru, Pune, Goregaon
- Employee Type : Full Time , Permanent
- Department : AI & Software Development
- Experience : 2.5+ Years
- CTC – Not Mentioned
- Link to Apply – KPMG – AI Engineer-Associate Consultant
Job Highlights for AI Engineer-Associate Consultant
- Applicants must hold an accredited Bachelor’s degree in a technical or highly quantitative discipline.
- An advanced degree, such as a Master’s or PhD in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related analytical field, is strongly preferred.
- Ideal candidates must have hands-on experience in machine learning, agentic AI systems and cloud-based AI development, having a strong foundation in data science and a passion for innovation.
- Candidate who is a highly motivated and skilled AI engineer to join our team and contribute to the development of intelligent, scalable and secure AI solutions.
- Our recruitment workflow incorporates artificial intelligence to analyze applications, screen resumes, and assess applicant submissions.
- This role requires a minimum of two and a half years of directly applicable professional experience.
- Proven ability to translate complex financial data into clear, actionable credit risk assessments and financial performance reports.
- Merges machine learning expertise with a solid grasp of corporate finance, accounting principles, and financial analysis.
Job Description for AI Engineer-Associate Consultant
- Design and execute predictive sensitivity analyses to simulate borrower repayment capabilities across diverse macroeconomic scenarios.
- Architect early-warning indicators and track critical loan covenants to flag potential default risks ahead of time.
- Conduct deep-dive macroeconomic and sector-specific research to contextualise borrower operational environments.
- Consult directly with clients to reconcile data discrepancies, gather missing metrics, and align on analytical frameworks.
- Synthesize complex data into streamlined, high-impact credit summaries to guide executive risk-committee decisions.
- Hands-on experience developing Generative AI applications, specifically utilizing Retrieval-Augmented Generation (RAG) architectures.
- Proven expertise in designing and optimizing prompts for Large Language Model (LLM) workflows.
- Cloud Infrastructure: Practical experience building and deploying machine learning or artificial intelligence workflows on at least one major cloud provider (Azure, AWS, or GCP).
- Theoretical Excellence: Deep mathematical intuition and analytical understanding of machine learning algorithms.
- Strategic Communication: Highly articulate professional capable of transforming complex commercial problems into data-driven analytical frameworks.
- Technical Stack: Highly proficient in Python and SQL, with practical exposure to open-source toolkits and production-grade data infrastructure.
- Specialized Domains: Strong conceptual understanding of Natural Language Processing (NLP) methodologies.
Desired Skill for AI Engineer-Associate Consultant
- This role requires a minimum of two and a half years of directly applicable professional experience.
- Strong interpersonal capabilities to communicate confidently with credit leaders, corporate clients, and diverse business partners.
- Demonstrates strong initiative, rapid adaptability, and creative problem-solving while maintaining a dependable, results-driven approach.
- Possesses a highly practical mindset alongside the ability to comprehend macro-level business landscapes and organizational goals.
- Possesses a highly practical mindset alongside the ability to comprehend macro-level business landscapes and organizational goals.
- Ability to thrive and maintain focus within rapidly evolving, high-velocity corporate cultures.
- Applicants must hold an accredited Bachelor’s degree in a technical or highly quantitative discipline.
- An advanced degree, such as a Master’s or PhD in Computer Science, Engineering, Mathematics, Statistics, Physics, or a related analytical field, is strongly preferred.
- We may leverage automated systems to help us review resumes and evaluate application submissions during the hiring process. Rest assured, all final hiring decisions are made entirely by our human team members, not by technology. If you would like to learn more about how we safeguard and manage your personal data, please contact us directly.
- Hands-on experience engineering self-directed digital agents capable of independent problem-solving and decision-making.
- Proven track record of configuring automated workflows and coordinating smart operational architectures.
- Skilled in managing concurrent networks of specialized AI agents to execute intricate, multi-step business operations.
- Expert in handling the operational deployment, tracking, and ongoing maintenance of Large Language Models in production.
- Proficient in tailoring and fine-tuning broad AI baseline models to align with highly specific industry applications.
- Experienced in architecting composite AI systems that seamlessly process and synthesize text, audio, and visual data streams.
Read More | Factly Media and Research – Full Stack Development (Golang)
Education
- UG: Any Graduate
- PG: Any Postgraduate
Skills for AI Engineer-Associate Consultant
- Artificial Intelligence
- Machine Learning
- Azure
- AWS
- GCP
- Cloud Platforms
- Python
- SQL
- Natural Language Processing (NLP)
- Monitoring
- Recruiting
- Stress testing
- Analytical analysis
What KPMG offer to their employees
- Candidate having the opportunity to work on cutting-edge AI technologies.
- Working in a collaborative and inclusive work environment.
- Candidates must get the exposure to cross industry AI applications like finance, healthcare, automotive, retail and manufacturing.
- Candidate having the opportunity for continuous learning and career growth.
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