Senior Machine Learning Engineer

2 weeks ago


Bengaluru, Karnataka, India TalentXo Full time


We are seeking a Machine Learning Engineer (MLE) contractor who will play a critical role in developing and implementing machine learning solutions that drive innovation and efficiency across our projects.

The ideal candidate will possess a strong foundation in machine learning, data processing, and software development, with the ability to work seamlessly with existing models and deploy new models into production.


Key Responsibilities :

  • Develop, optimize, and deploy machine learning models to support project objectives.
  • Process and analyze large datasets to inform model development and enhancements.
  • Maintain and improve existing machine learning models within our systems, ensuring they meet our standards for accuracy and performance.
  • Collaborate with crossfunctional teams to integrate machine learning solutions into our operational framework.
  • Utilize software development tools to maintain a robust, scalable codebase.
  • Apply a variety of machine learning techniques (e.g., statistics, clustering, classification, outlier analysis) to solve complex problems.

Basic Qualifications :

  • Proficiency in Python and knowledge of key machine learning packages such as numpy, pandas, scikitlearn, and xgboost.
  • Understanding of data structures, data modeling, software architecture, and software development tools, including Git and virtual environments.
  • Demonstrated ability to apply machine learning techniques to solve realworld problems.
  • Experience in deploying machine learning models in code and working with existing models.
  • Strong problemsolving skills and the ability to work independently or as part of a team.

Preferred qualifications :

  • Experience in building and accessing API endpoints.
  • Cloud computing experience, particularly with AWS.
  • Experience with deploying open source deep learning models, with a preference for those related to Life Sciences.
  • Proficiency in Deep Learning frameworks, such as PyTorch.
  • Experience in building and managing MLOps pipelines.
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