Job Title: Software Developer (Research & Development)   

At Sandvik Mining & Rock Technology India Pvt. Ltd. (Part of Sandvik Group), we offer you a world of opportunities. Our diverse businesses and global network enable you to explore your potential and thrive. So now we challenge you: Think one step further and then take it!

Job Description: 

Key Responsibilities:

• Develop and validate computational models, algorithms, and data-driven solutions for research projects.
• Analyze large datasets and generate insights using scientific computing and statistical techniques.
• Build and automate research workflows, simulations, and data processing pipelines.
• Collaborate with researchers and technical teams to solve complex scientific and engineering problems.
• Document research findings, methodologies, and experimental results.
• Contribute to technical publications, reports, patents, and innovation initiatives.
• Contribute to the design and development of ML, DL, Physics-, and Mathematics-based models.
• Contribute to the training, validation, and testing of in-house developed models.
• Contribute to the deployment, integration, and operationalization of models in production environments.

Required Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Physics, Data Science, or a related field.
• Strong foundation in algorithms, data structures, and computational problem-solving.
• Experience in scientific programming, data analysis, or research-oriented software development.
• Excellent analytical, problem-solving, and communication skills.
• Ability to work independently and in collaborative research environments.

Technical Skills:

• Programming: Python, C/C++, Java, SQL, Bash/Shell Scripting
• Scientific Computing: NumPy, Pandas, SciPy, Matplotlib, Jupyter Notebook
• Research & Analytics: Statistical Analysis, Data Modeling, Experimentation, Data Visualization
• Tools & Platforms: Git, Linux/Unix, PyTest, Docker (preferred)
• Preferred: High-Performance Computing (HPC), Machine Learning, Workflow Automation