
Recognized by TIME x Statista and GSV 150, Interview Kickstart helps talent and teams turbocharge careers and impact in the AI era.
201 - 500 employees
Founded 2014
October 13

Recognized by TIME x Statista and GSV 150, Interview Kickstart helps talent and teams turbocharge careers and impact in the AI era.
201 - 500 employees
Founded 2014
• Collaborate closely with stakeholders to understand business challenges deeply and translate these challenges into well-defined machine learning problems and actionable project requirements to drive business growth and enhance learner experiences. • Leverage your expertise in statistical modeling, machine learning, and generative AI/LLMs to research and design optimal solutions for the identified machine learning problems. • Work closely with fellow developers to build and iterate optimal solutions for the identified machine learning problems. • Take ownership of deploying the developed machine learning solutions, including fine-tuned LLMs, into scalable production environments (on cloud platforms like AWS, Azure, GCP) and ensure these deployed solutions are effective. • Staying informed about recent developments in AI/ML, including key publications, best practices, evaluation methodologies, technology stacks, and relevant tools.
• 3.5+ years of full-time experience as an ML engineer at tier-1 product-based companies. • Hands-on experience fine-tuning open-source large language models (LLMs) and successfully deploying and maintaining them in scalable production environments on cloud platforms (e.g., AWS, Azure, GCP). • Hands-on experience building statistical and machine learning models. • Proven expertise in traditional machine learning methods (e.g., regression, classification, clustering, tree-based models) and deep learning techniques (e.g., neural networks, CNNs, RNNs). • Proficiency in Python.
• Personalized mock interviews • Resume and LinkedIn branding • Career coaching • Salary negotiation guidance • Performance-based job referrals
Apply NowOctober 13
11 - 50
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