Software Engineer
Bangalore, Karnataka, IN
NetApp
The only enterprise-grade storage service that's embedded into the major public cloud providers, NetApp turns disruption into opportunity with intelligent data infrastructure for any data, any workload, and any environment.Job Summary
At NetApp, customer lifecycle and experience is at the forefront of everything we do. To help us build functional systems that solves complex business problems leveraging artificial intelligence and data science, we are looking for a Software Engineer with excellent skills in data analytics and machine learning to join our CXO engineering organization
About the Role: We are seeking a highly motivated and skilled Software Engineer with expertise in Machine Learning and strong foundational knowledge in software engineering concepts. As an IC2 Software Engineer, you will be responsible for developing, and implementing advanced machine learning models and software solutions that drive our innovative projects
Key Responsibilities:
• Innovate: Design and develop machine learning algorithms and models to solve complex problems.
• Collaborate: Work with cross-functional teams to integrate machine learning solutions into existing software systems.
• Optimize: Implement software engineering best practices to ensure high-quality, maintainable, and scalable code.
• Analyze: Interpret large datasets to extract meaningful insights and improve model performance.
• Research: Stay updated with the latest advancements in machine learning and software engineering.
• Enhance: Participate in code reviews, debugging, and troubleshooting to ensure optimal performance.
• Document: Create technical specifications, process flows, and system designs.
Job Requirements
• Experience: Proven experience in machine learning, data science, or a related field.
• Knowledge: Strong understanding of software engineering principles and best practices. Knowledge of DevOps practices and tools for continuous integration and deployment. Experience in developing and deploying machine learning models in production environments.
• Skills: Deep expertise in programming languages such as Python, JavaScript
• Tools: Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
• Cloud: Familiarity with cloud computing platforms and services (e.g., AWS, Azure, Google Cloud).
• Problem-Solving: Excellent problem-solving skills and the ability to work independently and as part of a team.
• Communication: Strong communication skills to effectively collaborate with technical and non-technical stakeholders.
Education
A Bachelor of Science Degree in Engineering or Computer Science with 2 years of experience, or a Master’s Degree; or equivalent experience is required.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: AWS Azure Computer Science Data Analytics DevOps Engineering GCP Google Cloud JavaScript Machine Learning ML models Python PyTorch Research Scikit-learn TensorFlow
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