Deloitte is looking to solve complex business problems across diverse applications and use cases in industries such as healthcare, life sciences, manufacturing, consumer, energy, and other industries using AI and GenAI solutions
Requirements
- Master’s or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
- 6+ years of experience working in data science, data engineering, software engineering, or MLOps
- 6+ years of experience in AI/ML algorithm development workflow and data analysis in the major data modalities from NLP, time-series analysis, computer vision to graph models
- 6+ years of experience in core programming languages and data science packages (Python, Keras, PyTorch, Pandas, Scikit-learn, Docker, Kubernetes, etc.)
- 6+ years of experience with traditional ML and deep learning techniques (CNNs, RNNs, LSTMs, GANs), model tuning, and validation of developed algorithms
- Experience with cloud deployment (AWS, Azure, GCP), such as building and scaling in AWS SageMaker or Azure ML Studio
- Experience with developing and testing GenAI solutions
Responsibilities
- Support identification of high-value AI opportunities that drive industry advantage, representing an organization's AI vision through strategic delivery and industry
- Serve as the technical lead on projects to drive the technical strategy, roadmap, and prototyping of AI/ML solutions to meet each clients’ unique requirements
- Engage and guide a diverse set of clients with high autonomy in AI strategy and adoption, including understanding organizational needs, performing exploratory data analysis (EDA), building and validating models, and deploying models into production
- Lead comprehensive AI initiatives spanning predictive and generative AI, overseeing development of advanced models and ensuring systems are scalable, efficient, and adhere to requirements and AI guidelines
- Support an interdisciplinary team of data scientists, engineers, and solution architects to achieve technical delivery objectives and real-world performance for production and research applications
- Lead in the research and adoption of industry best practices for validation and deployment of models; support best delivery practices, code review, UAT, unit, and integration tests
- Present to key stakeholders, including solution findings and options for potential deployment infrastructure, hardware, software, cloud, etc.
Other
- 4+ years of experience managing teams and delivering complex and critical projects
- Live within commuting distance to one of Deloitte’s consulting offices
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
- Limited immigration sponsorship may be available
- Highly proficient written and verbal skills to support briefings, proposals, technical sprint plans, solution reports, progress updates, and executive presentations
