Role : Graduate Trainee
Location : Phoenix, AZ (Onsite)
Company Description
NucleusTeq is a global leader in software services, specializing in Generative AI, Machine Learning, Data Modernization, Cloud Computing, and Enterprise Automation. Headquartered in Phoenix, Arizona, the company empowers Fortune 100 enterprises with innovative, AI-driven solutions, scalable architectures, and comprehensive data transformation services. Leveraging its proprietary platform, NuoData, NucleusTeq delivers cutting-edge capabilities in data governance, real-time analytics, and enterprise AI/ML frameworks. With advanced automation, scalable cloud solutions, and robust security integrations, NucleusTeq drives digital transformation for businesses worldwide. Please have a look at NucleusTeq Website and its product. We are Phoenix based company with offshore center in Indore, Raipur & Bhilai and people are working from various parts of India likewise Delhi-NCR, Pune, Bengaluru & Hyderabad etc.
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- LinkedIn:
- Product: Fyndr -
- LinkedIn:
Role Description
This is a full-time on-site role for a Graduate Trainee based in Phoenix AZ. As a Graduate Trainee, you will be involved in supporting various projects across domains, including data analytics, AI, and automation. Your day-to-day activities will include analyzing data, assisting in the development of scalable solutions, conducting research, and contributing to project planning and execution. This role offers a dynamic work environment to build foundational skills and gain hands-on experience in cutting-edge technologies.
Qualifications
- Basic understanding of Data Analysis, Agentic AI, Machine Learning, and Cloud Computing concepts
- Good programming skills in Python, Java, or related programming languages
- Effective communication and collaboration abilities to work in a team environment
- Strong problem-solving skills with an aptitude for learning new technologies
- Proficiency with tools and environments such as SQL.
- Bachelor s degree in Computer Science, Data Science, Information Technology, or a related technical field from Ivy League or Tier 1 Schools.
- Previous internship or academic project experience in AI, Machine Learning, or Data Engineering is a plus
- Adaptability, critical thinking, and effective time management capabilities
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