Data Scientist

5 days ago


Malappuram, Kerala, India beBeeMACHINELEARNING Full time ₹ 12,00,000 - ₹ 17,00,000
Machine Learning Engineer

The role of the Machine Learning Engineer is to support the development and implementation of data models, focusing on Machine Learning, under the supervision of more experienced engineers.

  • Develop and implement Machine Learning models and algorithms, contributing to the design and implementation of data-driven solutions.
  • Perform data preprocessing, cleaning, and analysis, preparing datasets for modeling and supporting higher-level initiatives.
  • Leverage Deep Learning and General AI technologies, gaining hands-on experience under the guidance of senior data scientists.
  • Engage in continuous professional development, enhancing skills in Python, Machine Learning, and related areas through training and practical experience.
  • Collaborate with team members to ensure the effective implementation of data science solutions, participating in brainstorming sessions and project discussions.

Key Responsibilities:

  • Analyzing complex data sets to identify patterns and trends.
  • Developing and implementing machine learning models to solve business problems.
  • Collaborating with cross-functional teams to integrate machine learning into product development.
  • Staying up-to-date with emerging trends and advancements in machine learning.

Required Skills and Qualifications:

  • Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field, with a strong interest in Machine Learning, Deep Learning, and AI.
  • Experience in a data science role, demonstrating practical experience and strong Python programming skills.
  • Exposure to Business Intelligence (BI) & Data Engineering concepts and tools.

Benefits:

We value diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status.

We believe in the power of diversity and strive to foster a culture where every team member feels valued and respected. We encourage applications from individuals of all backgrounds and experiences.



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