Software Developer
Key details
- Location
- Bengaluru, KA, India
- Work style
- Onsite
- Job type
- Full-time
- Function
- Software engineering
- Focus area
- Infrastructure / Cloud
- Posted
- 18h ago
Skills
algorithmsbashc++data analysisdata modelingdata structuresdata visualizationdockergithigh-performance computingjavalinuxmachine learningnumpypandaspytestpythonshellshell scriptingsqlstatistical analysisunixworkflow automation
About the role
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
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