Deloitte

Machine Learning Developer

Deloitte

July 21, 2021

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.
The Team
Analytics & Cognitive
In 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 Analytics & Cognitive 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.
Analytics & Cognitive 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.

Work you'll do/Responsibilities
  • Unify Machine Learning (ML) systems development and ML systems deployment to standardize and streamline the continuous delivery of high-performing models in production
  • Use statistical and machine learning techniques to create scalable analytics solutions
  • Develop end-to-end (Data/Dev/ML) Ops pipelines based on in-depth understanding of cloud platforms, AI lifecycle, and business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably.
  • Facilitated the development of objectives by selecting and employing the appropriate SDLC methodologies, and gathering business requirements relevant to ML
  • Execute best practices in version control and continuous integration / continuous delivery
  • Operationalize and monitor ML models using high end tools and technologies
  • Assist in the development and execution of an AI/Data governance framework, with a focus on ensuring that AI technologies are well researched and developed
  • Help administer and work within an AI code of Ethics to tackle issues such as Privacy, Discrimination, Data Ethics, and promote Responsible Innovation
  • Prototype and demonstrate solutions for clients in customer environments
  • Explain model behavior/results to both Technical and Non-Technical Audiences
  • Collaborate with data scientists, data engineers and other key stakeholders in a fast-paced cross-functional and diverse environment
  • Stay current on new products and relevant industry trends in the field of ML

Qualifications
Required
  • 3+ years of IT experience. Minimum 2 years of relevant experience delivering AI/ML projects.
  • Solid understanding of the ML lifecycle and concepts
  • 3+ years experience with the design and implementation (building, containerizing, and deploying end to end automated data and ML pipelines) of automated cloud solutions
  • Experience with TensorFlow, Pytorch, and other deep learning frameworks
  • Experience with version control tools such as Git
  • Extensive experience working in an Agile development environment
  • Fluency in Python, R, and other common ML Languages
  • Fluency in both structured and unstructured data (SQL, NOSQL)
  • Production experience with Apache Spark
  • Hands-on experience with web APIs, CI/CD for ML, and Serverless Deployment
  • Familiarity with Linux OS and Windows servers
  • Knowledge of Docker, Jenkins, Kubernetes, and other DevOps tools.
  • Outstanding analytical and problem-solving skills
  • Travel up to 20% (While 20% of travel is a requirement of the role, due to COVID-19, non-essential travel has been suspended until further notice).
  • Must live a commutable distance to one of the following cities: Atlanta, GA; Austin, TX; Boston, MA; Charlotte, NC; Chicago, IL; Cincinnati, OH; Cleveland, OH; Dallas, TX; Detroit, MI; Gilbert, AZ; Houston, TX; Indianapolis, IN; Kansas City, MO; Lake Mary, FL; Los Angeles, CA; Mechanicsburg, PA; Miami, FL; McLean, VA; Minneapolis, MN; Nashville, TN; Orange County, CA; Philadelphia, PA; Phoenix, AZ; Pittsburgh, PA; Rosslyn, VA; Sacramento, CA; St. Louis, MO; San Diego, CA; Seattle, WA; Tallahassee, FL; Tampa, FL; or be willing to relocate to one of the following USDC locations: Gilbert, AZ; Lake Mary, FL; Mechanicsburg, PA.
  • Limited Immigration sponsorship may be available

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