Key Qualifications

- Experience:
- 1–2 years of software development experience (preferred)
- 1–2 years of experience as a Data Scientist, with a focus on Time Series forecasting
- 4+ years working 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
- Experience 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:
- Fast learner with the ability to adapt to changing priorities
- Strong problem-solving and collaboration skills

Role Responsibilities

- Function as a developer with a strong focus on:
- ML model implementation, experimentation, and deployment




- Applying software engineering best practices in machine learning projects
- Conduct data analysis and work with forecasting algorithms, especially for time series data
- Collaborate with cross-functional teams to deliver production-level ML 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 ML libraries (e.g., scikit-learn, pandas, numpy, etc.)

What We Offer

- Opportunity to work on cutting-edge ML projects
- A highly motivated and collaborative team
- Competitive salary
- Flexible schedule
- Benefits package including:
- Medical insurance
- Sports membership or wellness stipend
- Corporate social events
- Professional development opportunities
- Contemporary, well-equipped office environment

📌 Senior Data Scientist (Secunderabad)
🏢 Grid Dynamics
📍 Secunderabad