Data Science Platform Developer
2 weeks ago
About MINDTEL GLOBAL PRIVATE LIMITED
">We are a leading global technology company seeking a highly skilled Data Science Platform Developer to join our team. As a key member of our data science team, you will be responsible for developing and maintaining robust data science platforms to support our business operations.
">Job Description:
">Key Responsibilities:
">- ">
- Design and develop data science platforms to support business operations.">
- Develop and maintain automation scripts using tools like Ansible, Terraform, or CloudFormation to automate platform provisioning and configuration.">
- Implement CI/CD pipelines to streamline the deployment process.">
- Monitor and optimize platform performance, ensuring high availability and scalability.">
- Troubleshoot and resolve technical issues related to the platform.">
- Stay up-to-date with the latest data science technologies and best practices.">
- Collaborate with data engineers to design and implement data pipelines.">
- Ensure data quality, security, and privacy.">
- Deploy and manage machine learning models to production environments.">
- Monitor model performance and retrain as needed.">
Estimated Salary: ₹1,500,000 - ₹2,000,000 per annum
">Benefits:
">- ">
- Competitive salary and benefits package.">
- Opportunities for professional growth and development.">
- Collaborative and dynamic work environment.">
- Recognition and rewards for outstanding performance.">
Requirements:
">Technical Skills:
">- ">
- Strong proficiency in SAS Visual Data Mining and Machine Learning.">
- Experience with cloud platforms (AWS, Azure, GCP).">
- Expertise in automation tools (Ansible, Terraform, CloudFormation).">
- Knowledge of scripting languages (Python, Bash).">
- Understanding of data engineering concepts and tools (ETL, data pipelines).">
- Familiarity with deep learning frameworks (TensorFlow, PyTorch).">
- Proficiency in SQL and data visualization tools (Tableau, Power BI).">
Location: MINDTEL GLOBAL PRIVATE LIMITED, various locations worldwide
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