Machine learning researcher

2 weeks ago


Bangalore, India ClearML Full time

Machine Learning Researcher (Machine Learning AI)  Join us to advance data science and machine learning.

  Clear ML is a rapidly growing open source AI/ML platform that helps data science, ML engineering, and Dev Ops teams easily develop, orchestrate, and automate ML workflows at scale.

Our frictionless, unified, end-to-end AI Platform enables users and customers to focus on developing their AI/ML code and automation, ensuring their work is reproducible and scalable.

Clear ML is trusted by brands such as NVIDIA, Net App, Samsung, Hyundai, Bosch, Microsoft, Intel, IBM, and Philips.

  Overview: We are an open source end-to-end AI Platform, built by developers for developers.

  We're looking for a Machine Learning Researcher to join our growing team.

In this role, you will collaborate across our development and product teams and will have a chance to collaborate with our MLOPs experts working in the exciting areas of machine learning, deep learning, Dev Ops, and AI.

  The ideal candidate will be a recent graduate who wants to learn how to create and fine-tune models from large amounts of raw information and optimize them You will work with our team to learn to build ML/DL data pipelines to extract valuable business insights, analyze trends, and help us make better decisions.

  We expect you to be highly analytical with a knack for analysis, math, and statistics, and a passion for machine learning and research.

Critical thinking and problem-solving skills are also required.

  Responsibilities: - Research and analyze valuable data sources and automate processes - Perform preprocessing of structured and unstructured data - Review large amounts of information to discover trends and patterns - Create predictive models and machine-learning algorithms - Modify and combine different models through ensemble modeling - Organize and present information using data visualization techniques - Develop and suggest solutions and strategies to business challenges - Work together with engineering and product development teams to build and test ML/DL solutions stretching the entire spectrum of ML operationalization from data processing, model training, hyperparameter tuning, deployment, and model management.

  Requirements: - Graduate role, no experience necessary, remote opportunity - Knowledge of SQL and Python; familiarity with Scala, Java, or C++ is a plus.

- Familiar with Kubernetes and/or perhaps similar container system - Strong math and analytical skills, with business acumen - Strong communication and presentation skills - Good problem-solving abilities - BSc or BA degree in Computer Science, Engineering or other relevant area  



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