USI | Audit Services | AI and Data Science Engineer III

Do you have a passion for artificial intelligence, machine learning, and data analysis? Do you yearn to have the impact of your work recognized and valued by more than just your development team? 

If yes, we have just the role for you. 

You will be joining our collaborative Data Science team which leverages the most advanced technologies in machine learning and artificial intelligence to achieve the Deloitte Audit and Assurance vision of an AI-enabled audit. Some of our current projects focus on generative AI, prompt engineering, LLMs, anomaly detection, clustering, and knowledge graphs.

As AI and Data Science Engineer, you will focus on supporting the Data Science group and actively participate in the entire lifecycle of a data science project, with a focus on feature engineering, creating models, and boosting their performance and accuracy, as well as guiding and supervising more junior resources.

• Apply rigorous data science practices on your specific assigned workstreams through the entire data science development and deployment lifecycle

• Develop high-quality, production-ready code (readable, well-tested, with well-designed APIs)

• Collaborate daily with Data Science Managers to solve complex data science problems that emerge within your workstream and others. 

• Collaborate with subject matter experts to obtain an understanding of the underlying business problem, and to define and refine the corresponding technical solution.

• Be a key contributor to the planning and direction of a project and effectively prioritize goals and objectives

• Stay up to date with the latest trends, techniques, and advancements in data science and identify opportunities for their application

• Effectively explain technical concepts

This team leverages the most advanced technologies in machine learning and artificial intelligence to achieve the Deloitte Audit and Assurance vision of an AI-enabled audit. Some of our current projects focus on generative AI, prompt engineering, LLMs, anomaly detection, clustering, and knowledge graphs.

Location - Bengaluru

Shift Time - 9:00 am to 6:00 pm

• 5-6 years of relevant industry experience designing, developing, and deploying machine learning models

• Undergraduate degree in quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics)

• Solid understanding of machine learning model development life cycles

• Deep knowledge in at least one of our core competencies (NLP and generative AI, Anomaly Detection, Time Series, Knowledge Graph)

• Understanding of LLMs and prompt engineering

• Demonstrated ability to write high-quality, production-ready code (readable, well-tested, well-documented, with well-designed APIs)

• Extensive experience with Python and relevant libraries (NumPy, Pandas, Scikit-learn, etc.)

• Experience with at least one cloud-based ecosystem (Azure, GCP, AWS)

• Experience using common machine learning and deep learning frameworks such as TensorFlow, PyTorch, OpenAI and LangChain

• Knowledge of Docker, Jenkins, Kubernetes, and other DevOps tools 

• Excellent verbal and written communication skills

• Ability to travel as needed (<25%)

• 5-6 years of relevant industry experience designing, developing, and deploying machine learning models 

• Master’s degree or PhD in a quantitative field (computer science, engineering, mathematics, physics, machine learning, statistics)

• Extensive experience with Microsoft Azure, including certification in machine learning

• Experience with machine learning pipelines (Azure ML)

• Experience in an Agile working environment and related project management tools (Jira, Azure DevOps, etc.)

• Proficiency in utilizing prompt engineering techniques to effectively guide the generation process and obtain desired outputs from language models.

• Knowledge of finetuning techniques for language models, including methods to adapt and customize pretrained models for specific generative tasks, such as text generation, summarization, or dialogue systems.

• Public AI-related projects you have developed available on GitHub

Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. 

Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas and perspectives, and bring more creativity and innovation to help solve our clients’ most complex challenges. This makes Deloitte one of the most rewarding places to work.

At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India.

At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.