Senior Machine Learning Specialist

1 day ago


Tirupati, Andhra Pradesh, India beBeeMachineLearning Full time ₹ 1,00,00,000 - ₹ 2,00,00,000
Job Overview

We are seeking a highly skilled and experienced Machine Learning Engineer to join our fast-paced team.

The ideal candidate will have expertise in developing and deploying scalable machine learning models, with a strong focus on ensuring data quality and integrity.

In this role, you will work closely with cross-functional teams to design and implement cutting-edge machine learning solutions that drive business growth and customer satisfaction.

Key Responsibilities:

  • Design, develop, and deploy machine learning models using Python, PySpark, NumPy, Pandas, SQL, and Linux.
  • Collaborate with data engineers, scientists, product managers, and senior stakeholders to identify business needs and opportunities for machine learning applications.
  • Develop and maintain end-to-end system architecture for ML/MLOps systems, including model implementation, debugging, and production maintenance.
  • Implement cloud services experience, including Azure Databricks, Spark, Data Warehousing, and pipeline orchestration.
  • Develop CI/CD and DevOps skills, including automated model deployment using Azure DevOps.
  • Design and develop API development experience using FastAPI/Flask for scalable ML models.

Requirements:

  • A Master's or Bachelor's degree in Computer Science, Electrical, Civil, or Mechanical Engineering.
  • 6-8 years of industry experience, with at least 3-4 years in Machine Learning (ML), MLOps, or Business Rule Engine (BRE) implementation.
  • Familiarity with credit risk modeling and financial services is highly beneficial.

About the Role:

You will be part of a dynamic team that encourages innovation, collaboration, and continuous learning.

This is an excellent opportunity to grow your career and make a meaningful impact on our business.

Join us in shaping the future of machine learning and driving business success.

What We Offer:

  • Competitive salary and benefits package.
  • Opportunities for professional growth and development.
  • Collaborative and dynamic work environment.

Contact Information:

Please submit your resume and cover letter to apply for this exciting opportunity.



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