Machine Learning Engineer
- NetApp
- 4 - 7 years
- Bengaluru
- 15 days ago
- Email to a friend
- Report this job
Job Description
Job SummaryNetApp is seeking an Machine Learning Engineer to join the Data Services organization
The overarching vision of this organization is to empower organizations to effectively manage and govern their data estate and build cyber-resiliency while accelerating their digital transformation journey
To get to this vision, we will embark on an AI-first approach to build and deliver a world-class suite of data services
As a key ML engineer in this initiative, the candidate will be responsible for independently deploying scalable AI/ML-based solutions, leveraging advancements in AI to solve real-world challenges in the domains of data protection and cybersecurity
The candidate will possess deep expertise in using modern AI/ML systems to ship impactful products to production
This is going to be a challenging and a fun role in one of the most exciting roles in the industry today, Job Requirements
Lead the development and deployment of AI/ML systems for Data protection with techniques from the realm of classical Machine learning, Generative AI and AI agents, Develop scalable data pipelines for various AI/ML-driven solutions from building curated data pipelines, setting up automated evals, adopting latest and greatest inferencing platforms for rapid iterations, Collaborate with data scientists and engineers to integrate AI into the broader products at NetApp
Effectively communicate complex technical artifacts to both technical and non-technical audiences, Work with a great deal of autonomy and proactively bring open-source AI innovations into our research and experimentation roadmap
Ensure scalability, reliability, and performance of AI models in production environments, Have a customer focus mindset and build AI/ML products that delight our customers, Represent NetApp as an innovator in the machine learning community and promote the company's product capabilities in industry/academic conferences, Required And Preferred Qualification
Masters degree in computer science / applied mathematics / statistics / data science or equivalent experience, 3+ years of experience in building MLOps pipelines, CI/CD pipelines, and ML systems lifecycle management, Strong knowledge of optimizing and shipping machine learning and deep learning models to production, Proficiency in Python, SQL and at least one cloud platform (AWS, Azure or GCP), Excellent communication and collaboration skills, with demonstrated ability to work effectively with cross-functional teams and stakeholders of an organization
Preferred Qualification
1+ years of experience in data engineering, including building and optimizing data pipelines and architectures, Solid understanding of data science fundamentals and model evaluations, including supervised and unsupervised machine learning algorithms (both machine learning and deep learning), Good understanding of cyber-security and data protection frameworks, Experience of representing your work or company at AI/ML conferences, Active GitHub profile showcasing relevant open-source AI/ML projects or Kaggle achievements, At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees
This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process, Equal Opportunity Employer
NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, and any protected classification, Why NetApp
We are all about helping customers turn challenges into business opportunity
It starts with bringing new thinking to age-old problems, like how to use data most effectively to run better but also to innovate
We tailor our approach to the customer's unique needs with a combination of fresh thinking and proven approaches, We enable a healthy work-life balance
Our volunteer time off program is best in class, offering employees 40 hours of paid time off each year to volunteer with their favourite organizations
We provide comprehensive benefits, including health care, life and accident plans, emotional support resources for you and your family, legal services, and financial savings programs to help you plan for your future
We support professional and personal growth through educational assistance and provide access to various discounts and perks to enhance your overall quality of life, If you want to help us build knowledge and solve big problems, let's talk,
Job Classification
Industry: Software ProductFunctional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: NetAppLocation(s): Bengaluru
+ View Contact
Keyskills: cloud platformcommunication skills shipping data science machine learning ci cd pipeline sql
Fraud Alert to job seekers!
₹ Not Disclosed
Similar positions
Job Listings
We are in open beta version of website, please let us know if any issues, at: info(at)indigojobs.in