AI Specialist

What success looks like in this role:

Quickly converting an idea to a demonstration
Lead the design and development of Generative AI-based applications.
Working within in a Scrum team to develop rapid prototypes.
Evaluate, select, and integrate AI tools and frameworks that are essential for generative AI development.
Stay up to date with the latest advancements in generative AI and contribute to our research efforts in this field.
Working with internal corporate functions within the organization to identify use-cases and help them in their AI transformation journey.
Learning, evaluating and leveraging a variety of AI tools and technologies.
Being a self-starter and able to work independently, as well as within a team, to deliver a result.
Provide guidance and mentorship to junior AI engineers, fostering a culture of continuous learning.
Demonstrate passion for quality and productivity by use of efficient development techniques, standards and guidelines.

You will be successful in this role if you have:

Must have proficient skills working on Large Language Models (LLMs).

Proficiency in Azure Cognitive Services, which includes Azure Language Service, Azure Text Analytics, Azure Speech Service, and other AI-related offerings.
A good understanding of OpenAI's GPT models and how it integrates with Azure services. This includes knowledge of GPT's capabilities, limitations, and available features.
Strong programming skills in Python for working with Azure services and data manipulation.
Good understanding of databases e.g. Postgres
Proficient knowledge of back-end programming languages like NodeJS, Python and/or Golang
Proficient knowledge on one of front-end technologies like React or Angular
Hands on technical Skills related to Frontend development.
Experience with AWS and GCP is an added advantage.
Demonstrated Cluster Management knowledge and experience using platforms including – Kubernetes, Rancher, Helm, Docker
Familiarity with Figma for UI Mockups
Cloud certification at a developer or equivalent level is an added advantage.
Azure AI Certification or equivalent is an added advantage.
Familiarity with Data engineering and Machine learning models
Excellent written and verbal communication skills, flexible and good attitude
Experience working with open-source projects, third-party libraries, SDKs and APIs

#LI-HS1

This role may require access to export-controlled commodities and technology. Therefore, to conform to U.S. export control regulations, applicant should be eligible for any required authorizations from the U.S. Government.

Unisys is proud to be an equal opportunity employer that considers all qualified applicants without regard to age, caste, citizenship, color, disability, family medical history, family status, ethnicity, gender, gender expression, gender identity, genetic information, marital status, national origin, parental status, pregnancy, race, religion, sex, sexual orientation, transgender status, veteran status or any other category protected by law.

This commitment includes our efforts to provide for all those who seek to express interest in employment the opportunity to participate without barriers. If you are a US job seeker unable to review the job opportunities herein, or cannot otherwise complete your expression of interest, without additional assistance and would like to discuss a request for reasonable accommodation, please contact our Global Recruiting organization at GlobalRecruiting@unisys.com or alternatively Toll Free: 888-560-1782 (Prompt 4). US job seekers can find more information about Unisys’ EEO commitment here .

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