Position Summary
Deloitte Risk and Financial Advisory – Architect - Artificial Intelligence and Machine Learning (AI/ML) Center of Excellence (COE)
Are you interested in working in a dynamic environment that offers opportunities for professional growth and new responsibilities? If so, Deloitte Risk and Financial Advisory could be the place for you. At Deloitte, we are creating a world-class Artificial Intelligence and Machine Learning (AI/ML) Center of Excellence to enhance Deloitte’s existing services and empower our clients to gain exponential value from their data. Our focus is on bringing data, analytics, and technology together with our deep expertise in multiple industries to drive new product development and significant automation/efficiencies. We are seeking to grow our team with brilliant and diverse contributors with technical ability. We are looking for machine learning experts with strong experience in Deep Learning that want to be part of a team that has an opportunity to make a significant impact.
Work you’ll do
You will be responsible for leading and directing a team focused on developing cutting-edge quantitative solutions to our client’s most challenging problems. You will not only provide advanced technical leadership, guiding research and applications of quantitative methods, but will also provide direct supervision, mentorship, support, guidance, oversight, and recruitment of your team. Opportunities to assist clients will span from Life sciences (genetics, new medicines development) to Cyber Security to Fraud/Waste/Abuse detection to capital markets modeling. This is an exciting role that will stretch your knowledge and curiosity, offering the opportunity to deepen your skills, and learn new industries.
- Drives the application of rigorous machine learning / data science within the AI CoE and across Deloitte generally
- Lead improvements in methodology or initiatives to address capability gaps or increase efficiency
- Influence machine learning strategy for a client/program/project; explore design options to assess efficiency and impact, develop approaches to improve robustness and rigor
- Be a key contributor to the planning and direction of a project and effectively prioritize goals
- Lead discussions at peer review and use quantitative skills to positively influence decision making
- Effectively explain technical concepts at all levels in the organization, including senior leaders/stakeholders
- Represent Deloitte externally to advance our reputation as the AI/ML leader in the consulting industry
- Identify opportunities to apply the latest advancements in Machine Learning and Artificial Intelligence to build, test, and validate predictive models
- Create algorithms and AI models to extract information from large, multiparametric data sets
- Deploy your algorithms to production to identify actionable insights from large databases
- Compare results from various methodologies and recommend best techniques to stake holders
- Develop and embed automated processes for predictive model validation, deployment, and implementation
- Connect and collaborate with subject matter experts across multiple industries
- Make impactful contributions to internal discussions on emerging machine learning methodologies
The team
This is a hands-on position where you will be empowered to be creative, ambitious, and bold; to solve novel problems and have the potential to directly impact the lives of people around the world. We have impressive toolkits and clients with world class data, and we are now looking for talented people to join our team.
Qualifications Required:
- 8+ years of overall experience of which 4+ years directly in AI/ML
- A degree in Engineering, Statistics, Data Science, Applied Mathematics, Computer Science, Physics, Computational Biology, Computational Chemistry or related quantitative field (Masters or PhD preferred)
- Expert understanding of a programming language such as Python
- Experience with at least one Deep Learning framework such as PyTorch or TensorFlow/Keras
- Demonstrated ability to write high-quality, production-ready code (readable, well-tested, with well-designed APIs)
- Demonstrated ability to develop novel machine learning methods that go beyond putting together of existing code, and to apply problem-solving skills to complex issues
- Excellent written and verbal communication skills
- Ability to work autonomously and collaboratively as part of a team to both teach and learn every day
- Continuously looking for opportunities to learn, build skills and share learning
Preferred:
- PhD or master’s degree
- An industry specialization such as life sciences, financial services, energy, or government
- A domain specialization such as Cyber Security, Fraud/Waste/Abuse, or Data Management
- AI/ML publication in a peer-reviewed journal
- Proficiency in Linux environment (including shell scripting), experience with database languages (e.g., SQL, No-SQL) and experience with version control practices and tools (Git, Perforce, etc.)
- Familiarity with cloud computing services (AWS, GCP, or Azure)
- Large-scale deep learning model training