📋 Job Details at a Glance 📍 Location Gurugram, Haryana, India 🏢 Company KPMG Global Services 👥 Experience 1-3 years 🎓 Qualification Bachelor's or Master's degree in Computer Science, Data Science, IT, or related quantitative field 📅 Eligible Batch 2021, 2022, 2023, 2024, 2025 📄 Job Type Full Time 💰 Salary ₹8 – ₹15 LPA 🏢 Industry Technology 🛠 Key Skills Python SQL LangChain LlamaIndex Vector Databases AWS Azure CI/CD Consultant (AI/ML & Generative AI) at KPMG Global Services — Full Details & How to Apply KPMG Global Services is seeking a Consultant (AI/ML & Generative AI) in Gurugram, Haryana, India , offering a competitive salary range of ₹8 – ₹15 LPA . This role is pivotal in developing enterprise AI solutions that directly impact clients. The demand for Consultant (AI/ML & Generative AI) jobs is surging as companies increasingly adopt AI technologies. This specific role at KPMG Global Services is crucial for the firm's growth in the tech sector, enabling businesses to leverage AI for enhanced decision-making and operational efficiency. What sets KPMG Global Services apart is its extensive experience since 1987 , employing over 200,000 professionals worldwide. The company is recognized for its innovative consulting services, making it an ideal environment for aspiring consultants to thrive and contribute to cutting-edge projects. We encourage 2021, 2022, 2023, 2024, 2025 graduates with a Bachelor's or Master's degree in Computer Science, Data Science, IT, or related quantitative field and 1-3 years experience to apply. This role offers a competitive salary of ₹8 – ₹15 LPA and a clear pathway for career advancement. In this position, you will work with advanced technologies such as Python , SQL , LangChain , LlamaIndex , Vector Databases , AWS , Azure , and CI/CD . This exposure not only enhances your technical skills but also opens doors to senior consulting roles within 2-3 years , positioning you for a successful career in AI. 📊 Role Difficulty: Medium | Competition Level: Medium | Fresher Friendly: Yes NexisGrow.com features this opportunity as part of its curated tech job listings. All details are sourced from the official job posting. Apply online before the opportunity closes. Job Role & Responsibilities The core mission of the Consultant (AI/ML & Generative AI) role at KPMG Global Services is to develop innovative AI solutions that enhance operational efficiency and meet specific client needs. Develop enterprise AI solutions using Python and SQL to meet client specifications and improve operational efficiency. Implement LangChain and LlamaIndex for building advanced RAG frameworks, ensuring seamless integration of large language models. Collaborate with cross-functional teams, including Data Science and Software Development, to deliver comprehensive AI solutions that address client challenges. Analyze performance metrics to assess the effectiveness of AI implementations and recommend improvements based on data-driven insights. Take ownership of project deliverables, ensuring timely completion and adherence to quality standards throughout the development process. Document technical processes and maintain clear communication with stakeholders to facilitate project transparency and alignment. Engage with clients to understand their needs and provide tailored AI solutions, enhancing client satisfaction and retention. This role fosters an ownership culture, allowing you to make a direct impact on client success and operational excellence. Required Skills & Technical Competencies The Consultant (AI/ML & Generative AI) role requires a robust skill profile to effectively develop and implement AI solutions tailored to client needs. Technical Skills Python — advanced — essential for developing AI applications, utilizing libraries like TensorFlow and PyTorch. SQL — intermediate — crucial for managing and querying databases, enabling effective data manipulation and analysis. LangChain — intermediate — used for building AI applications, requiring familiarity with its framework and capabilities. LlamaIndex — intermediate — important for integrating large language models, enhancing the functionality of AI solutions. Soft Skills & Professional Competencies Problem-solving skills — necessary for addressing client challenges and providing innovative solutions using data-driven insights. Effective communication — vital for maintaining transparency with stakeholders and engaging clients to understand their needs. Time management — essential for ensuring timely completion of project deliverables while adhering to quality standards. Adaptability — important for collaborating with cross-functional teams and adjusting to evolving project requirements. Good to Have (Bonus Skills) MLOps — enhances your ability to manage machine learning workflows, streamlining deployment processes. Frontend development skills — beneficial for creating user interfaces for AI applications, improving user experience. Experience with CI/CD pipelines — facilitates efficient software development and deployment, aligning with industry best practices. When showcasing these skills in your resume or interview, emphasize specific projects or experiences that demonstrate your proficiency and impact in real-world applications. Eligibility Criteria This role is designed for candidates with a strong technical foundation and a keen interest in AI and machine learning. Must hold a Bachelor's or Master's degree in Computer Science , Data Science , IT , or a related quantitative field. Eligible batches include 2021 , 2022 , 2023 , 2024 , and 2025 , allowing recent graduates to apply. 1-3 years of experience is required, with freshers encouraged to apply, as the role offers extensive training and mentorship. A minimum academic performance of 60% in relevant degrees is preferred, reflecting a solid understanding of core concepts. Having a portfolio or GitHub showcasing relevant projects can provide a competitive edge in the application process. Documentation & Portfolio Requirements Ensure your resume is clear and concise, highlighting relevant skills, experiences, and projects. Include links to your portfolio or GitHub to showcase your work. Pro tip: Tailor your application to highlight specific projects that demonstrate your expertise in Python , SQL , and AI technologies relevant to this role. Salary for Consultant (AI/ML & Generative AI) at KPMG Global Services 💰 Compensation ₹8 – ₹15 LPA The advertised compensation for the Consultant (AI/ML & Generative AI) role at KPMG Global Services is ₹8 – ₹15 LPA . The exact in-hand figure and any additional components are confirmed by the company during the offer or HR discussion stage. Selection Process at KPMG Global Services KPMG follows a structured selection process to identify candidates who align with their innovative approach in AI and ML technologies. 1 Online Assessment — 60 minutes, testing coding skills and logical reasoning through MCQs and coding challenges. 2 Technical Interview — focuses on Python, SQL, and AI concepts, assessing problem-solving and technical knowledge. 3 Behavioral Interview — evaluates cultural fit and teamwork skills through situational and behavioral questions. 4 HR Interview — discusses salary expectations, company culture, and the offer timeline. Topic-wise Preparation Guide Round 1: Online Assessment Data Structures — understanding arrays, linked lists, and trees is crucial for coding challenges — GeeksForGeeks Algorithms — focus on sorting and searching algorithms, which are commonly tested — LeetCode Logical Reasoning — practice puzzles and logical reasoning questions to enhance analytical skills — HackerRank Python Basics — ensure familiarity with Python syntax and common libraries — Codecademy Round 2: Technical Interview Python Libraries — focus on TensorFlow and PyTorch, as they are relevant for AI applications — Coursera SQL Queries — practice writing complex queries to manipulate and retrieve data — HackerRank AI Concepts — study machine learning algorithms and their applications — Coursera LangChain Framework — understand its architecture and use cases in AI development — Google Search LlamaIndex Integration — learn how to implement and utilize large language models — Google Search Round 3: Behavioral Interview STAR Method — prepare to discuss past experiences using the STAR (Situation, Task, Action, Result) technique — MindTools Team Collaboration — be ready to discuss how you work in teams and handle conflicts — YouTube Technical Deep-Dive — expect questions that require detailed explanations of your technical skills and projects — GeeksForGeeks Timeline & Expectations The application to offer timeline typically spans 4-6 weeks , depending on the number of candidates and interview schedules. Prepare thoroughly for each round, as KPMG values both technical expertise and cultural fit. Expected Interview Questions for Consultant (AI/ML & Generative AI) at KPMG Global Services These questions are based on the role's actual tech stack and responsibilities. Technical Questions How do you implement a machine learning model using Python ? What are the key differences between SQL and NoSQL databases? Explain how LangChain can be utilized in AI applications. What is LlamaIndex , and how does it enhance AI capabilities? Describe a project where you used Python for data analysis. How do you optimize SQL queries for performance? Behavioral Questions Describe a challenging project you worked on and how you overcame obstacles. How do you handle tight deadlines in a team setting? Give an example of a time you had to learn a new technology quickly. How do you prioritize tasks when managing multiple projects? Role-Specific Questions What strategies would you use to develop an enterprise AI solution? How would you approach integrating a large language model into an existing system? Describe your experience with CI/CD pipelines in software development. Structure your answers using the STAR method to clearly convey your experiences and thought processes. Resume Tailoring & ATS Keywords for Consultant (AI/ML & Generative AI) Optimizing your resume for ATS is crucial to ensure it gets noticed for this role. ATS Keywords to Include Consultant AI ML Generative AI Python SQL LangChain LlamaIndex Vector Databases AWS Azure CI/CD Resume Tips for This Role Highlight relevant projects that demonstrate your skills in AI and machine learning. Emphasize your technical skills, particularly in Python and SQL , as they are crucial for this role. Include links to your portfolio or GitHub to showcase your coding abilities and projects. Optimize your resume for ATS by using keywords from the job description. Avoid including unrelated work experience that does not pertain to the role. Build an ATS-optimized resume for this role using NexisGrow Resume Builder — free for all job seekers. Do not include generic skills or experiences that do not relate to the job description. About KPMG Global Services KPMG Global Services was founded in 1987 and has expanded to become one of the largest professional services networks globally, with a presence in over 146 countries . The company is headquartered in Gurugram, Haryana , and employs over 227,000 professionals worldwide, showcasing its extensive reach and influence in the industry. KPMG specializes in a range of services including audit, tax, and advisory, with a strong emphasis on technology consulting and digital transformation. Notable platforms include KPMG Ignite and KPMG Digital Gateway , which leverage advanced analytics and AI to deliver innovative solutions to clients across various sectors. The company has received multiple accolades for its workplace culture, including a commendable 4.2 rating on Glassdoor . KPMG promotes employee satisfaction through various programs, such as mentorship initiatives and professional development workshops, ensuring that employees feel valued and supported in their career journeys. Recently, KPMG announced a significant investment in AI technologies, aiming to enhance its service offerings and expand its market share in the tech industry. This initiative includes partnerships with leading tech firms and a focus on developing proprietary AI solutions to better serve clients. For freshers in technology, KPMG Global Services provides a robust foundation through exposure to global projects and mentorship programs. These opportunities enable new employees to gain practical experience and develop essential skills that are crucial for advancing their careers in the tech landscape. Why Join KPMG Global Services as Consultant (AI/ML & Generative AI)? Joining KPMG Global Services as a Consultant (AI/ML & Generative AI) offers a unique opportunity to work with cutting-edge technologies and gain hands-on experience that is highly valued in the tech industry. Hands-on Experience — Work directly with LangChain and LlamaIndex , essential tools for developing advanced AI applications that are shaping the future of technology. Cloud Computing Skills — Gain exposure to AWS and Azure , enhancing your cloud computing capabilities and making you a sought-after asset in the tech sector. Career Advancement — After 1-2 years, transition into roles such as Senior Consultant or AI Project Manager, with clear pathways to leadership positions within the organization. Collaborative Culture — Experience a work environment that emphasizes teamwork and innovation, fostering both personal and professional growth through collaborative projects. Vibrant Lifestyle — Working onsite in Gurugram provides access to a thriving tech hub, networking opportunities, and a balanced work-life environment that enhances overall well-being. According to NexisGrow.com, the role of Consultant (AI/ML & Generative AI) at KPMG Global Services positions you at the forefront of technological advancements, equipping you with the skills and experience necessary for a successful career in AI and machine learning. Frequently Asked Questions Interview · Role · Salary · Growth ? Who can apply for Consultant (AI/ML & Generative AI) at KPMG Global Services? Eligibility Tap to expand + Answer Candidates with Bachelor's or Master's degree in Computer Science, Data Science, IT, or related quantitative field and 1-3 years experience are eligible. Eligible batches: 2021, 2022, 2023, 2024, 2025. ? What skills are most important for this role? Skills Tap to expand + Answer Key skills: Python, SQL, LangChain, LlamaIndex, Vector Databases. Strong fundamentals and practical project experience matter most. ? What is the salary for this position? Salary Tap to expand + Answer Compensation: ₹8 – ₹15 LPA. Final offer depends on skills, experience, and interview performance. ? What is the interview process at KPMG Global Services? Interview Tap to expand + Answer Typically: Resume shortlisting → Online test → Technical interview(s) → HR round. ? Is this role remote, hybrid, or onsite? Work Mode Tap to expand + Answer Work mode varies by team. Confirm with HR during recruitment. ? What is the career growth path from this role? Growth Tap to expand + Answer Structured appraisals every 6–12 months. Senior roles accessible within 12–18 months based on performance. ? How do I apply? Application Tap to expand + Answer Apply via the official link in How to Apply section. Highlight: Python, SQL, LangChain, LlamaIndex, Vector Databases. ? Is there a probation period? Probation Tap to expand + Answer Standard 3–6 months probation. Confirmation follows successful completion. ? How to prepare for the Consultant (AI/ML & Generative AI) interview? Preparation Tap to expand + Answer (1) Core concepts of Python, SQL, LangChain, LlamaIndex, Vector Databases, (2) 2–3 project walkthroughs, (3) Problem-solving, (4) KPMG Global Services research, (5) Clear communication. ? What is the work culture like at KPMG Global Services? Culture Tap to expand + Answer Research on LinkedIn and Glassdoor for authentic employee reviews. NexisGrow.com features only verified employers. 🔗 Explore More on NexisGrow More jobs in Gurugram Browse all Tech jobs More jobs at KPMG Global Services Work From Home jobs Ready to Apply? Don't Miss This Opportunity! Apply only via the official link. NexisGrow.com charges zero application fees. 👉 Apply Now — Official Link NexisGrow.com does not charge any application or registration fees. Beware of fraudulent offers. Naukri ki baat, NexisGrow ke saath • NexisGrow.com