Deloitte | India Offices of the US

Applied Scientist - Assistant Manager / Deputy Manager

USI Transformation Office is looking for an Applied Scientist to join our Office of Generative AI (OGAI) solutioning team. The Transformation Office’s mission is to reimagine & leverage the opportunity to transform the way businesses & Enabling Areas deliver their services. As an Applied Scientist, you will be expected to work as a Subject Matter Expert in the field of Generative AI and broader AI technologies. You will play a key role in identifying and experimenting with state-of-the-art AI technologies and work on practical applications of these technologies, collaborating with stakeholders across the firm to build prototypes and apps. You will also proactively showcase live demos of R&D-built prototype applications to business stakeholders, to help foster the adoption of transformative technologies.

The Team

Deloitte USI Transformation Office provides oversight, accountability, enablement, and clarity across our most complex transformation priorities to ensure success by connecting dependencies, reducing risk, ensuring alignment, and accelerating outcomes. The OGAI solutioning team focuses on three different services related to the domain including Advisory, POC, and Build. Advisory services include firm-wide expertise and strategic advice on adopting Generative AI. From a POC standpoint, the team provides a range of services from GenAI feasibility assessments to the development of functional prototypes. And in the Build phase, we evaluate build options and support use case development into a full-scale application.

Responsibilities:

• Conduct technical research on Large Language Models (LLMs), hyperscaler services, and open-source models to ensure robust and innovative solutions are identified and implemented.
• Identify opportunities where Generative AI and Machine Learning can be leveraged to streamline processes, automate tasks, and improve decision-making capabilities.
• Engage in the brainstorming, ideation, and development of Generative AI systems and workflows, ensuring they are scalable, flexible, and efficient in processing large volumes of data
• Demonstrate capability in fine-tuning and deploying adaptable LLMs
• Manage dependencies and maintain source code repositories, such as Git, ensuring code integrity and facilitating collaboration.
• Collaborate with software developers to deploy research prototypes or to integrate advanced AI workflows into existing platforms or applications.
• Work closely with cross-functional teams, including Data Scientists, Software Engineers, and Business Stakeholders, to precisely define AI requirements and deliver solutions
• Remain informed about the latest technological advancements in AI, including recent technologies, frameworks, and algorithms.
• Drive the adoption of innovative AI solutions by rigorously researching and evaluating emerging technologies, ensuring our offerings are competitive.
• Communicate complex AI concepts and solutions to both technical and non-technical stakeholders, ensuring clear understanding for the stakeholders.
• Commit to ethical AI practices by promoting fairness, transparency, and accountability in all AI-system deployments. Actively work to identify and mitigate biases and potential risks associated with AI systems to ensure their responsible use.

·       Take on project lead roles and be responsible for mentoring junior colleagues

Skills required:

• Proficiency in technical research, specifically with the capability to evaluate different LLMs and other hyperscaler services to deliver strategic recommendations to business units.
• Profound understanding of Python coding concepts and expertise in UI Prototyping libraries such as Streamlit and Gradio, coupled with skills in Prompt Engineering.
• Experienced in the design and development of Generative AI systems, encompassing machine learning, deep learning, and neural network technologies. Well-versed in the concepts, models, and methodologies of Generative AI.
• Good foundation in cloud computing platforms including Azure, GCP, and AWS, with experience of deploying AI models on these platforms.
• Proficient in designing medium-scale Generative AI solutions, with a focus on data integration, cleansing, and transformation techniques.
• Exceptional problem-solving and analytical capabilities, complemented by a creative mindset and a penchant for innovative solutions.
• Effective communication and collaboration skills, essential for working efficiently in multidisciplinary teams.
• Familiarity with ethical AI practices and regulations is considered an advantage.

Qualifications:

• Relevant work experience, in the field of Artificial Intelligence of 4+ years

Location: Mumbai / Bengaluru