Responsibilities:

• Assist in designing and testing prototypes for scalable machine learning infrastructure.
• Support the development of MLOps practices including model training, packaging, deployment, and monitoring.
• Help build and maintain pipelines for ML operations and infrastructure automation.
• Collaborate with AI Architects and ML Engineers to support successful deployment of AI/ML workloads.
• Learn and apply AI algorithms while adhering to architectural standards.
• Participate in troubleshooting and resolving technical issues within ML platforms.
• Analyze business processes and data flows to support model development under guidance.
• Contribute to the development of analytical models that support business growth.
• Help promote adoption of ML solutions using explainable AI techniques.

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Qualifications

• Currently pursuing a Bachelor’s degree in Computer Science or related field, entering senior year.
• Must not require sponsorship to work in the US, now or in the future
• Exposure to or coursework in AI/ML, Deep Learning, or Computer Vision.
• Familiarity with ML frameworks such as TensorFlow, Keras, PyTorch, or Scikit-learn.
• Basic understanding of cloud platforms and data engineering concepts.
• Strong written and verbal communication skills.
• Experience or coursework in Agile/DevOps tools like Azure DevOps or Jenkins is a plus.
• Ability to work in a fast-paced, collaborative environment.

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Skills & Attributes

• Passion for AI/ML and enthusiasm for learning new technologies.
• Self-motivated and intellectually curious.
• Ability to research and evaluate technical solutions independently.
• Comfortable with ambiguity and adaptable to changing requirements.
• Strong team player with good interpersonal skills.
• Detail-oriented with solid organizational skills.
• Ability to communicate effectively with both technical and non-technical audiences.

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