Interview Kickstart

Machine Learning Engineer

• Collaborate with product managers and business stakeholders to understand business challenges and translate them into machine learning problems and actionable project requirements.
• Research and design solutions using statistical modeling, machine learning, and generative AI/LLMs.
• Collaborate with machine learning engineers to develop and refine solutions.
• Work with Applied AI/ML engineers to build LLM-powered agentic systems for real product use cases.
• Design, develop, and optimize agent pipelines and APIs.
• Build tests for agent behaviors and contribute to evaluation frameworks.
• Deploy machine learning solutions into scalable production environments on cloud platforms such as AWS, Azure, and GCP.
• Ensure deployed solutions are effective.
• Stay informed about developments in AI/ML, publications, best practices, evaluation methodologies, technology stacks, and relevant tools.

Explore Software Engineer 2, Machine Learning at Interview Kickstart. Review requirements and application details.

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Software Engineer 2, Machine Learning