Are you an experienced, passionate pioneer in technology - a solutions builder, a roll-up-your-sleeves technologist who wants a daily collaborative environment, think-tank feel and share new ideas with your colleagues - without the extensive demands of travel? If so, consider an opportunity with our US Delivery Center - we are breaking the mold of a typical Delivery Center.Our US Delivery Centers have been growing since 2014 with significant, continued growth on the horizon. Interested? Read more about our opportunity below Work you'll do/Responsibilities
Work with data science techniques and libraries to show data's applicability to business problems
Perform exploratory data analysis to define analytical models
Develop advanced quantitative models using a variety of programs/software to support predictive assessments
Provide expertise for analytical, programmatic, strategic, and operational analysis.
Explain analytics model behavior/results in the vernacular of business
Perform technical risk analysis and reliability assessments
Perform multiple forms of advanced analyses, sustainment, optimization, text analytics, machine learning, parametric and non-parametric statistical models and techniques
Build, test, validate and demonstrate analytical models through various relevant error metrics and calibration techniques
Provide recommendations for plans, programs, strategies, policies and budgets.
Design algorithms that require a number of different models/methods to be used in an ensemble
Deploy models into production
The TeamArtificial Intelligence & Data EngineeringIn this age of disruption, organizations need to navigate the future with confidence, embracing decision making with clear, data-driven choices that deliver enterprise value in a dynamic business environment.The Artificial Intelligence & Data Engineering team leverages the power of data, analytics, robotics, science and cognitive technologies to uncover hidden relationships from vast troves of data, generate insights, and inform decision-making. Together with the Strategy practice, our Strategy & Analytics portfolio helps clients transform their business by architecting organizational intelligence programs and differentiated strategies to win in their chosen markets.Artificial Intelligence & Data Engineering will work with our clients to:
Implement large-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud-based platforms
Leverage automation, cognitive and science-based techniques to manage data, predict scenarios and prescribe actions
Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As-a-Service offerings for continuous insights and improvements
QualificationsRequired
6+ years of experience to have great understanding on the ML lifecycle and concepts
6+ years of experience with the design and implementation (building, containerizing, and deploying end to end automated data and ML pipelines) of automated cloud solutions
6+ years of experience in developing algorithms using data science technologies to build analytical models.
6+ years of data extraction/manipulation experience using scripts specific to AI/ML
6+ years of IT experience. Minimum 2 years of relevant experience delivering AI/ML projects
6+ years of modeling experience using a variety of regression and supervised and unsupervised learning techniques.
6+ years of experience in data wrangling/cleansing, statistical modeling, and programming
6+ years of extensive experience working in an Agile development environment
6+ years of experience for fluency in both structured and unstructured data (SQL, NOSQL)
6+ years of production experience with Apache Spark
6+ years of hands-on experience with web APIs, CI/CD for ML, and Serverless Deployment
5+ years of experience with presentation and data analysis software such as: SAS, R, SPSS, MATLAB, QlikView, Excel and Access
3+ years of experience to have familiarity with Linux OS and Windows servers
3+ years of experience to have knowledge of Docker, Jenkins, Kubernetes, and other DevOps tools
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
Must be a US Citizen
Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve. This may include overnight travel.
Bachelor's degree, preferably in Computer Sciences, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
Must live in a commutable distance (approximately 100-mile radius) to one of the following Delivery locations: Atlanta, GA; Charlotte, NC; Dallas, TX; Gilbert, AZ; Houston, TX; Lake Mary, FL; Mechanicsburg, PA; Philadelphia, PA with the ability to commute to assigned location for the day, without the need for overnight accommodations
Expectation to co-locate in your designated Delivery location up to 30% of the time based on business needs. This may include a maximum of 10% overnight client/project travel
Preferred
Certification from any of the three major cloud platforms (AWS / Azure / GCP) in Cloud Architecture / Engineering / DevOps / ML.
Familiarity with Kubeflow or MLflow
Experience with machine learning pipelines (Azure ML)
Familiarity with the latest Natural Language Processing or Computer Vision related algorithms
Must be able to obtain the required level of security clearance for this role
Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.