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Senior AI ML Cloud Developer

  • Source: Workday
  • 442 Protiviti GmbH
  • $110,000 to $164,000 /yr
  • On-site
  • New York City
  • Full-Time
  • Senior

Job Description

JOB REQUISITION

Senior AI ML Cloud Developer

LOCATION

NEW YORK CITY

ADDITIONAL LOCATION(S)

LOS ANGELES, WASHINGTON DC

JOB DESCRIPTION

You Belong Here

The Protiviti Career provides the opportunity to learn, inspire, and advance within a collaborative and inclusive culture.  We hire curious individuals for whom learning is a passion. We lean into our mission: We Care. We Collaborate. We Deliver.

At every level, we champion leaders who live in our values of integrity, inclusion, innovation, and commitment to success. Imagining our work as a journey, we believe integrity guides our way, inclusion moves us forward together, innovation creates new destinations, and our commitment to success empowers us to deliver on our vision to be the most trusted global consulting firm.

Where We Need You

Protiviti is looking for an AI Cloud Developer Senior Consultant to join our growing Artificial Intelligence team.

What You Can Expect

Protiviti is an innovative global consultancy that provides transformative solutions across industries through its deep expertise in artificial intelligence. Protiviti works with clients to design AI that is innovative to drive optimal results, put transparent controls in place, and champion user adoption, ensuring that AI brings measurable value while maintaining the highest standards of safety and accountability.

What Will Help You Be Successful

  • You are intellectually curious and enjoy continuous learning.
  • You enjoy discussing technical and industry trends and seek opportunities to demonstrate AI technologies and enable both internal and external stakeholders.
  • You excel at using storytelling techniques to bring AI concepts and ideas to life, making complex technologies accessible, and engaging diverse audiences.
  • You participate in the initiation and development of new products and services.
  • You understand the business environment and potential impact of Artificial Intelligence within industries
  • You contribute to a positive team culture that fosters open communication among all engagement team members.

Do Your Talents Include the Following?

  • Hands-on development of end-to-end AI solutions to solve complex business problems.
  • Cloud services and infrastructure with platforms such as AWS, Microsoft Azure, or Google Cloud.
  • Have built or deployed systems powered by LLMs or generative models and understand how model behaviour effects product experience
  • Proficiency in programming languages for AI development such as Python, R, or SQL, with experience in libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, Langchain, etc.
  • Experience with big data technologies such as Hadoop and Spark.
  • Implementing required security and privacy controls when developing AI-enabled prototypes, including proper data handling, masking/anonymization, and secure storage based on defined standards.
  • Applying cloud platform security features (e.g., encryption, identity and access management, secure API integrations) to ensure AI applications adhere to enterprise and regulatory requirements.
  • Executing security-related tasks such as integrating authentication, enforcing role-based access, and configuring secure data pipelines as part of delivering production-ready AI solutions.
  • Identifying and addressing security or privacy considerations during development and proactively collaborating with security stakeholders to validate implementation.
  • Documenting security-relevant design decisions, data flows, and privacy considerations to support Responsible AI practices and audit transparency.
  • Collaborating with internal stakeholders to create AI-enabled solutions for repeatable business problems and develop functional prototypes to validate feasibility and applicability of AI technologies to practical use cases and challenges.
  • Fostering innovation by identifying new AI technologies or methodologies that can enhance current processes or solve new challenges.
  • Establishing best practices in AI governance principles ensuring ethical use, transparency, risk management while delivering high-quality services to clients.

Your Educational and Professional Qualifications

  • Bachelor’s degree in relevant discipline (Computer Science or related field).
  • 2+ years working on designing and deploying technology projects involving advanced analytics or machine learning models.
  • A minimum of 1-year hands-on experience with Generative Artificial Inte…

Skills

  • amazon-web-services
  • microsoft-azure
  • google-cloud-platform
  • Python
  • Tensorflow
  • PyTorch
  • Scikit-learn
  • LangChain
  • Hadoop
  • apache-hadoop
  • Spark
  • azure-arc
  • robert-half
  • workday
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