Job title: AI & Generative AI - Senior Consultant
About
At Deloitte, we do not offer you just a job, but a career in the highly sought-after risk management field. We are one of the business leaders in the risk market. We work with a vision to make the world more prosperous, trustworthy, and safe. Deloittes clients, primarily based outside of India, are large, complex organizations that constantly evolve and innovate to build better products and services. In the process, they encounter various risks and the work we do to help them address these risks is increasingly important to their successand to the strength of the economy and public security.
By joining us, you will get to work with diverse teams of professionals who design, manage ,implement & support risk-centric solutions across a variety of domains. In the process, you will gain exposure to the risk-centric challenges faced in todays world by organizations across a range of industry sectors and become subject matter experts in those areas.
The Team
Internal Audit
As part of Digital Internal Audit team, you will be part of our USI Internal Audit practice and will be responsible for scaling digital capabilities for our IA clients. Responsibilities will include helping our clients adopt digital through various stages of their Internal Audit lifecycle, from planning till reporting.
We help organizations enhance their
digital footprint in the Internal Audit space
by adopting a digital approach.
Through digital, Internal Audit groups can not only
perform its traditional duties better, but can broaden
-
its mandate and sphere of influence to provide
actionable insights to management through the
anticipation of both risks and opportunities.
Work youll do
The key job responsibilities will be to:
Analyze client requirements, perform gap analysis, design and develop digital solutions using data analytics tools and technologies to solve client needs
Design, build, and implement custom AI and Generative AI solutions tailored to meet specific business needs
Utilize advanced machine learning techniques to develop/train AI models and fine-tune Gen-AI models.
Continuously monitor and improve the performance of AI models to ensure they meet the desired performance metrics
Deploy solution across various cloud and on-prem computing platforms
Collaborate with cross-functional teams to understand business requirements and translate them into technical specifications.
Conduct data analysis, preprocessing, and modeling to extract valuable insights and drive data-driven decision-making.
Provide technical expertise and thought leadership in the field of AI/Generative AI to guide clients in adopting AI-driven solutions.
Stay up to date with the latest advancements in AI and machine learning technologies to incorporate cutting-edge solutions into projects.
Required skills
Proficiency in designing and developing generative AI models and AI algorithms utilizing state-of-the-art techniques.
Experience in developing and maintaining data pipelines and Retrieval-Augmented Generation (RAG) solutions including data preprocessing, prompt engineering, benchmarking and fine-tuning
Experience with cloud services (AWS, Azure, GCP) for deploying AI models and applications.
Familiarity with Gen AI application design and architecture
Practical experience of evaluating Large-Language Models (LLM) performance (using common metrics)
In-depth knowledge of Natural Language Processing (NLP) and its applications in AI solutions.
Expertise in handling large multi-modal datasets and applying data preprocessing techniques to ensure data quality and relevance.
Ability to analyze and interpret complex data to derive actionable insights and drive decision-making processes
Strong knowledge of programming languages like Python and SQL
Proficiency in building agent frameworks, RAG pipelines, experience in LLM Frameworks like LangChain or LlamaIndex; implementation exposure to vector databases like Pinecone, Chroma or FAISS
Strong understanding of Gen AI techniques and LLMs such as GPT, Gemini, Claude, etc. and Open Source LLMs (Llama, Mistral, etc.)
Expertise in Natural Language Processing (NLP), Deep Learning, LLMs & Generative AI (Gen AI)
Experience with frameworks such as TensorFlow, PyTorch and Keras
Familiar with AI/Gen AI Ethics & Governance frameworks, applications and archetypes
Preferred skills
Certification in Cloud (AWS/ Azure / GCP)
Certification in AI/ML or Data Analytics
Qualification
B.Tech/B.E. and/or MBA