Junior Data Scientist

5 days ago

Vellore, Tamil Nadu, India beBeeMachineLearning Full time ₹ 9,00,000 - ₹ 12,00,000

Job Description:

We are seeking a Junior Machine Learning Engineer to join our team. This role involves collaborating with cross-functional teams and working with our MLOPs experts in machine learning, deep learning, DevOps, 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.

This role offers an excellent opportunity for growth and development, as well as the chance to work on exciting projects that make a real impact.

Required Skills and Qualifications
  • Graduate degree in Computer Science, Engineering, or other relevant field
  • Knowledge of SQL and Python; familiarity with Scala, Java, or C++ is a plus
  • Familiarity with Kubernetes and/or similar container system
  • Strong math and analytical skills, with business acumen
  • Strong communication and presentation skills
Benefits

As a Junior Machine Learning Engineer, you will have the opportunity to work with a talented team of engineers and researchers on a wide range of projects.

You will also have access to ongoing training and development opportunities, as well as regular feedback and coaching from experienced professionals.

Additionally, you will be part of a dynamic and fast-paced environment where you can develop your skills and expertise.

Others

ClearML is a rapidly growing open source MLOps platform that helps data science, ML engineering, and DevOps teams easily develop, orchestrate, and automate ML workflows at scale.

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

We're looking for a junior Machine Learning Engineer (Machine Learning AI) 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, DevOps, and AI.

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