We are seeking a Machine learning intern. This internship offers an exciting opportunity to work on cutting-edge AI and blockchain intersection projects. Duration : 6 months Stipend : 20k/month hybrid mode: 3 days in office, 2 days work from home Responsibilities: Assist in design and implementation cutting-edge machine learning models for complex tabular and time series data problems Develop innovative feature engineering techniques to extract maximum value from datasets Research and apply state-of-the-art algorithms in areas such as automated machine learning (AutoML) and neural architecture search Optimize models for performance and scalability in resource-constrained environments Contribute to the development of the company's core ML infrastructure and pipelines Collaborate on end-to-end ML projects, from problem definition to deployment and monitoring Participate in strategic discussions to identify new opportunities for ML applications within the business Conduct independent research and stay updated on the latest advancements in ML for tabular and time series data Requirements: Strong theoretical understanding of machine learning concepts, statistical modeling, and optimization techniques Proven experience in developing and deploying ML models for tabular and time series data Advanced programming skills in Python, with expertise in ML libraries and frameworks Proficiency in working with large-scale datasets and distributed computing environments Experience with modern ML techniques such as gradient boosting, neural networks, and ensemble methods Preferred Qualifications: Contributions to open-source ML projects or research publications Experience with cloud-native ML development and deployment,
Employement Category:
Employement Type: Full timeIndustry: IT Services & ConsultingRole Category: Not SpecifiedFunctional Area: Not SpecifiedRole/Responsibilies: Machine Learning Intern