Expert Machine Learning Engineer

5 days ago


Bengaluru, Karnataka, India beBeeMachineLearning Full time ₹ 1,50,00,000 - ₹ 2,50,00,000

Healthcare innovation relies heavily on the development and implementation of cutting-edge machine learning models and algorithms. As a key member of our engineering team, you will be responsible for designing, building, and deploying these solutions to drive meaningful improvements in healthcare outcomes.

The role requires strong technical expertise in machine learning, deep learning, and data analysis. You will work closely with cross-functional teams to identify opportunities for growth and develop tailored solutions to address complex healthcare challenges.

Key Responsibilities:

  • Design and implement machine learning models and algorithms to solve real-world healthcare problems
  • Develop and deploy AI/ML solutions using Python and popular libraries like pandas, NumPy, and SQL
  • Collaborate with data scientists and engineers to build and refine predictive models using Scikit-learn, TensorFlow, and PyTorch
  • Perform exploratory data analysis, statistical analysis, and feature engineering to extract valuable insights from large datasets
  • Develop and tune machine learning models for both predictive and prescriptive analytics

Required Skills and Qualifications:

  • Strong foundation in machine learning, deep learning, and model evaluation techniques
  • Proficient in Python programming language, with hands-on experience using popular frameworks like PyTorch, TensorFlow, and scikit-learn
  • Skilled in data preprocessing, feature engineering, and SQL-based data handling
  • Familiar with API deployment using Docker and managing version control using Git

Benefits:

We offer a comprehensive benefits package, including competitive compensation, comprehensive health insurance, and generous retirement savings plans. Our inclusive and supportive work environment encourages collaboration, creativity, and continuous learning.

How to Thrive:

At our organization, we value diversity, equity, and inclusion. We strive to create an environment where everyone feels welcome, valued, and empowered to contribute their best work. If you are passionate about making a meaningful impact in healthcare, we invite you to join our team of dedicated professionals who share your passion for innovation and excellence.



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