In this age of disruption, organizations need to navigate the future with confidence by tapping into the power of data analytics, robotics, and cognitive technologies such as Artificial Intelligence (AI). Our Strategy & Analytics portfolio helps clients leverage rigorous analytical capabilities and a pragmatic mindset to solve the most complex of problems. By joining our team, you will play a key role in helping to our clients uncover hidden relationships from vast troves of data and transforming the Government and Public Services marketplace.

Work You’ll Do 

This Machine Learning Engineer will:

• Develop and deploy machine learning models to solve complex problems related to various mission focus areas
• Leverage various cloud platforms such as AWS, Azure, or Google cloud to build, train, and deploy machine learning models at scale
• Collaborate with team members to establish data pipelines for model training and inference
• Implement and optimize machine learning algorithms for efficiency and performance
• Conduct thorough experimentation and analysis to improve model accuracy and performance
• Participate in informal and formal code reviews
• Participate in architectural reviews and offer alternative architectural patterns to optimize application performance 
• Document processes and solutions that serve as communication findings for both technical and non-technical stakeholder

The Team 

Deloitte’s Government and Public Services (GPS) practice – our people, ideas, technology and outcomes—is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of over 15,000 professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

The GPS AI & Data Engineering offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients. Our team supports all phases of analytic work product development, from the identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to delivery insights to decision-makers. Our practitioners give special attention to the interplay between data and the business processes that produce it and the decision-makers that consume insights.

Qualifications 

Required:

• Bachelor’s degree required 
• Active TS/SCI security clearance or above
• 8 years of experience machine learning / machine learning engineering
• 6 years of experience developing and deploying machine learning models in a production environment.
• 6 years of experience with major cloud platforms including AWS, Azure, or GCP
• 6 years of experience in programming languages such as Python, along with libraries like Tensorflow, PyTorch, or scikit-learn.
• 6 years of experience in an Agile Environment
•  Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future 

Preferred:

• Deep knowledge of security best practices, experience with cloud security tools, and working with role and attribute based security models 
• Deep knowledge of DevSecOps and MLOPs
• Master’s degree or equivalent experience in a related field. 

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html