AI/ML Specialist Solution Architect (Early Talent)

Duration: 3 months Start date: June 2026

- Assist in designing and documenting AI and ML solutions.

- Learn how distributed training and inference workloads run on multi-GPU cloud-based systems.

- Help prepare technical materials such as presentations, documentation, tutorials, or demos.

- Participate in investigation, troubleshooting and optimization tasks under guidance from senior team members.

We expect you to have

- Currently pursuing or recently completed a degree in Computer Science, Engineering, Data Science, or a related field.

- Solid understanding of machine learning concepts and workflows.

- Familiarity with at least one ML framework such as PyTorch, TensorFlow, or JAX.

- Comfort with programming in Python (other languages are a plus).

- Interest in cloud infrastructure, GPUs, and large-scale AI systems.

- Strong communication skills and a willingness to learn and ask questions.

- Exposure to Kubernetes, Docker, or other container technologies.

- Familiarity with Git or basic DevOps workflows.

- Coursework or projects involving distributed systems, MLOps, or deep learning.

- Experience with AI projects from school, hackathons, or personal work.

Tools you may learn and use

- Programming: Python (plus exposure to Go, Java, or C++).

- ML Frameworks: PyTorch, TensorFlow, JAX, Hugging Face.

- Infrastructure & DevOps: Docker, Git, Kubernetes, Terraform.

- Schedulers & Orchestration: Kubernetes, Slurm (learning-focused).