AI/ML Ops

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 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 / continuousdelivery

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

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.

Qualifications Required Solid understanding of the ML lifecycle and concepts

3+ years of experience with the design and implementation (building, containerizing, and deploying end to end automated data and ML pipelines) of automated cloud solutions

3+ years of experience with TensorFlow, Pytorch, and other deep learning frameworks

3+ years of 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

3+ years of 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

Minimum 2 years of relevant experience delivering AI/ML projects

Bachelor's degree or equivalent experience

Travel up to 20% annually

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 Sponsorship: 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

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.

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.