What Will Help You Be Successful
You enjoy discussing technical and industry trends and seek opportunities to demonstrate AI technologies and enable both internal and external stakeholders.
You are motivated to learn and interested in all things related to AI ML, including the latest trends and developments.
You excel at using storytelling techniques to bring AI concepts and ideas to life, making complex technologies accessible, and engaging diverse audiences.
You have an inherent interest in project management and team leadership.
You promote a positive team culture that fosters open communication among all engagement team members.
You create development opportunities for others, including participating in the creation and rollout of training, and ways for your team to improve our clients and communities.
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 have interest in working with a diverse portfolio of clients across multiple industries.
Do Your Talents Include the Following?
Demonstrated experience with
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 behavior affects 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.
