Machine Learning Developer

14 hours ago

Hyderabad Secunderabad Telangana, India beBeeData Full time ₹ 15,00,000 - ₹ 28,00,000
Key Qualifications
  • Experience:
  • A minimum of two years of experience with software development and working as a Data Scientist, with a focus on time series forecasting.
  • Familiarity with Azure Cloud platforms, including:
  • Azure Databricks,
  • Azure ML Studio,
  • Azure Data Factory (ADF) Pipelines.
  • Technical Skills:
  • ML Ops / DevOps practices and tooling.
  • CI/CD pipeline configuration and deployment.
  • MLFlow for experiment tracking and model management.
  • Strong programming skills in Python.
  • Proficiency with machine learning models such as:
  • Random Forest,
  • XGBoost,
  • LightGBM,
  • Other ensemble modeling algorithms.
  • Education:
  • Bachelor's or Master's degree in Software Engineering, Computer Science, Statistics, or a related field.
  • PhD not required.
  • Soft Skills:
  • Able to adapt quickly to changing priorities.
  • Excellent problem-solving and collaboration skills.
Role Responsibilities
  • Function as a developer with a strong focus on:
  • Developing and implementing machine learning models.
  • Applying software engineering best practices in machine learning projects.
  • Conducting data analysis and working with forecasting algorithms, especially for time series data.
  • Collaborating with cross-functional teams to deliver production-level machine learning solutions.
Tools & Technologies
  • Azure Databricks
  • Azure ML Studio
  • Azure Data Factory (ADF)
  • MLFlow
  • CI/CD tools (e.g., GitHub Actions, Azure DevOps, Jenkins)
  • Python and relevant machine learning libraries (e.g., scikit-learn, pandas, numpy, etc.)
What We Offer
  • The opportunity to work on cutting-edge machine learning projects.
  • A highly motivated and collaborative team environment.
  • A competitive salary package.
  • A flexible schedule.
  • A comprehensive benefits package including:
  • Medical insurance.
  • Sports membership or wellness stipend.
  • Corporate social events.
  • Professional development opportunities.
  • A modern, well-equipped office environment.

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