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🏢 Deloitte Consulting
GenerativeAI Engineer
💼 Fulltime
📍 Bengaluru, Hyderabad, Pune
⏰ Expired
🔗 Explore More
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🛠 Skills Required
Python
TensorFlow
PyTorch
Hugging Face
LangChain
Large Language Models
Generative AI
Retrieval Augmented Generation
Natural Language Processing
Neural Networks
Computer Vision
Data Engineering
Kafka
Spark
Docker
Kubernetes
AWS
GCP
Git
CI/CD
🎤 Interview Experience
Deloitte’s interview process typically starts with a timed online coding test focusing on data structures, algorithms, and Python proficiency. Successful candidates move to a technical interview where they solve AI/ML design problems, discuss past projects, and may be asked to whiteboard a generative model pipeline. The final rounds involve a managerial interview assessing problem‑solving approach and a HR round evaluating cultural fit. Preparation should include strong fundamentals in deep learning, hands‑on experience with LLMs, and clear articulation of impact-driven projects.
🏢 Work Culture
Deloitte Consulting fosters a high‑performance yet inclusive culture where learning is continuous and collaboration is encouraged. Employees enjoy structured career progression, regular upskilling programs, and a balanced work‑life approach supported by flexible policies.
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📚 Free Study Materials (4)
Deloitte Placement Papers – AI & ML Focus
Provides previous Deloitte interview questions and case studies that help candidates prepare for AI‑centric technical rounds.
Open Resource ↗
Deloitte Recruitment Process Insights
Detailed experiences from candidates covering coding assessments, technical interviews, and HR rounds specific to Deloitte's AI roles.
Open Resource ↗
Deloitte Interview Guide
Comprehensive guide with sample questions, interview tips, and preparation roadmap for Deloitte consulting and technology positions.
Open Resource ↗
Problem Set – Essential Coding Practice
Curated list of algorithmic problems to sharpen coding skills required for Deloitte's online assessment and technical interviews.
Open Resource ↗
✅ Eligibility Criteria
Bachelor's degree (B.Tech/B.E) in any specialization with minimum 60% aggregate or equivalent CGPA; Master's degree (M.Tech/MCA) preferred but not mandatory; 7-11 years of hands‑on experience in AI/ML, deep learning, and NLP; proven track record of delivering production‑grade AI solutions; no active backlogs; excellent communication skills in English.
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🏆 Selection Process
Round 1: Online coding assessment (Python/DSA) → Round 2: Technical interview (AI concepts, system design, case studies) → Round 3: Managerial interview (project experience, leadership) → Round 4: HR interview (cultural fit, compensation).
📋 About the Role
Deloitte Consulting India Private Limited is one of the leading management‑consulting firms in the country, offering end‑to‑end services across strategy, technology, and operations. With a strong focus on digital transformation, Deloitte helps Fortune 500 clients adopt cutting‑edge technologies, including artificial intelligence, cloud, and analytics. The firm’s culture blends rigorous professional standards with a collaborative, inclusive environment that encourages continuous learning and innovation. Over the past decade, Deloitte’s AI practice has grown exponentially, delivering AI‑driven products for finance, healthcare, retail, and public sector clients.
The GenerativeAI Engineer role is a senior‑level position (7‑11 years of experience) that sits within the Data Science & Analytics department of Deloitte’s Management Consulting practice. The incumbent will be responsible for designing, building, testing, and deploying generative AI solutions that leverage large language models, diffusion models, and other deep‑learning architectures. Working closely with solution architects, product managers, and client stakeholders, the engineer will translate business problems into scalable AI pipelines and ensure seamless integration with existing enterprise systems.
Key Responsibilities:
1. Design and develop end‑to‑end generative AI solutions using neural networks, transformers, and diffusion models.
2. Build and maintain large‑scale data pipelines for data ingestion, preprocessing, model training, and inference.
3. Collaborate with cross‑functional teams to embed AI models into client applications, APIs, and cloud platforms.
4. Optimize model performance, latency, and cost through quantization, pruning, and distributed training.
5. Conduct rigorous testing, validation, and monitoring of AI models in production environments.
6. Troubleshoot complex issues related to model accuracy, scalability, and reliability.
7. Lead code reviews, mentor junior engineers, and promote best practices in AI development.
8. Stay updated with the latest research in generative AI, LLMs, and retrieval‑augmented generation (RAG).
9. Prepare technical documentation, solution briefs, and client presentations.
10. Contribute to Deloitte’s AI thought‑leadership by publishing white‑papers and participating in internal innovation labs.
Tech Stack: Python, TensorFlow/PyTorch, Hugging Face Transformers, LangChain, Docker, Kubernetes, AWS/GCP, Kafka, Spark, SQL/NoSQL databases, Git, CI/CD pipelines.
Growth Path: Successful engineers can progress to Senior AI Architect, AI Practice Lead, or move into Product Management and Solution Consulting roles, with exposure to global Deloitte networks and opportunities to lead multi‑disciplinary AI projects.
Why Join Deloitte: Deloitte offers a world‑class learning ecosystem, access to high‑impact projects for marquee clients, and a supportive culture that rewards innovation. Employees benefit from structured mentorship, competitive compensation, and a clear roadmap for career advancement within a globally recognized brand.
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📋 Quick Info
JOB ID
C001-J020
POSTED
23 May 2026
TYPE
Fulltime
BATCH
All Batches
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