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Principal Data & Machine Learning Engineer
Bengaluru, Karnataka, IndiaJob Summary
NetApp is seeking a capable Principal Data & Machine Learning Engineer to join Data Services organization. The overarching vision of this organization is to empower organizations to effectively 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 world-class suite of data services. As a key technical leader in this initiative, the Principal Data & Machine Learning Engineer will be responsible for architecting and building data and ML pipelines across the key pillars of data protection, privacy and compliance. The ideal candidate, while overseeing the technical work of 1-3 data and machine learning engineers, will also possess deep subject matter expertise in the areas of AI/ML infrastructure and platforms with a demonstrated history of shipping impactful at-scale AI/ML solutions into production.
Job Requirements
• Develop and maintain scalable data pipelines for various AI/ML-driven data services, which include ensuring reliable data ingestion, transformation, integration from various sources and maintaining ML feature and deployment pipelines.
• Ensure that data architectures and infrastructure can scale seamlessly as the data volume and complexity grow for NetApp’s data services.
• Build and maintain self-service data exploration and analysis platforms to derive insights from their respective data sources.
• Provide guidance and support to data analysts, engineers, scientists, and other stakeholders in leveraging the available data resources effectively.
• Oversee ML design reviews, create best practices and playbooks for end-to-end ML systems in production.
• Work with a great deal of autonomy and be the technical thought leader in creating a forward-looking vision with clear direction.
• Effectively communicate complex technical artifacts to both technical (engineers & scientists) and non-technical audiences
• Work closely with cross-functional teams including business stakeholders to innovate and unlock new use-cases for our customers that is driven through data intelligence.
• Participate in cross-functional meetings, workshops, and planning sessions to ensure data engineering activities support the overall objectives across data services and platform initiatives.
• Coaching and leadership for data professionals and the broader cross-functional team, helping influence and develop their skills and capabilities by fostering a culture of innovation and continuous learning.
• Have a strong customer focus and build data products that delight our users.
• Represent NetApp as a leader and ambassador in the machine learning community, building relationships with external partners and promoting the company's product capabilities in industry/academic conferences.
Education
• Master’s in computer science, Engineering, Applied Mathematics/Statistics/Data Science, or any quantitative field.
• 10+ years of relevant industry experience as a data and machine learning engineer, with a strong track record of shipping successful AI/ML products at scale.
• 3+ years’ experience building data/feature pipelines and deployments for ML models across various domains in AI/ML (NLP preferred).
• High-level understanding of supervised and unsupervised machine learning algorithms and 5+ years of experience shipping them in production.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and stakeholders at all levels of the organization.
Preferred Qualifications:
• PhD in Computer Science, Engineering, Applied Mathematics/Statistics/Data Science, or any quantitative field.
• 3+ years’ experience in technically leading a team of data and machine learning engineers.
• Experience building pipelines for end-to-end AI/ML model deployment in the areas of security and/or privacy and/or compliance.
• Ability to represent the company as a thought leader in the data engineering community.
• High level understanding of deep learning approaches, preferably in the area of Natural Language Processing
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.
Did you know…
Statistics show women apply to jobs only when they’re 100% qualified. But no one is 100% qualified. We encourage you to shift the trend and apply anyway! We look forward to hearing from you.
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.
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Equal Opportunity Employer*
NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status and any other protected classification. We pledge to take every reasonable step to ensure that our applicants and employees are respected, treated fairly and with dignity. See the EEO poster (PDF). NetApp makes reasonable accommodations, consistent with applicable laws, for religious purposes and for the known physical or mental limitations of an otherwise qualified applicant or employee with a disability, who can perform the essential job functions unless undue hardship would result.
State-specific postings/notices to applicants regarding contract compliance can be found here in English and here in Spanish, and fair employment practice information can be found here.
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If you are an applicant with a physical or mental disability that requires reasonable accommodation for any part of our application process, please email accessibility@netapp.com. Each request for reasonable accommodation will be considered on a case-by-case basis, consistent with applicable laws and regulations. Please note, this email address is only for accommodation requests; we do not accept unsolicited resumes.
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NetApp may use an automated employment evaluation tool or similar tool as one of several tools, actions, and/or steps to assist with NetApp’s review of candidate applications for various hiring needs. Currently, when addressing certain hiring needs, NetApp uses the Eightfold tool which can provide an initial ranking of a candidate’s skills and experience, based on information provided by the applicant in the application and/or supporting documentation, in comparison to the NetApp designated key requirements of a specific role. Additionally, the tool may be used to help review and /or rank internal employees seeking promotion or other internal mobility.
An independent audit of the Eightfold Matching Model tool can be found at https://eightfold.ai/nyc-eightfoldmatching-model.
Candidates may request an alternative selection process which will not be subject to the Eightfold matching tool or to any electronic automated employment evaluation by contacting NetApp at careers@netapp.com. To bypass the Eightfold matching tool or any electronic automated employment evaluation, you must include a resume and job ID with your email to careers@netapp.com and you must include in the subject line of your email: Data Privacy Request. Candidates who have questions or want to request additional information on the source of data, type of data, and/or collection of data related to the candidate review process should contact NetApp at careers@netapp.com
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