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Full-time
bachelor degree, postgraduate degree
Posted 5d ago
~40 hrs/week
Responsibilities
Design and implement novel algorithmic solutions and advanced ML models to solve complex business problems. Manage the full ML lifecycle from data ingestion and training to production deployment and optimization.
Requirements
Requires over 12 years of experience in AI/ML coding and expertise in system software, multithreading, and algorithms. Candidates should be proficient with containerization tools like Docker and Kubernetes and have a strong background in software engineering practices.
Full job description
Job Summary
Job Summary
Are you ready to elevate your career in software engineering? NetApp is seeking Software Engineers to join the CPTO team and contribute to the development and design of innovative incubation projects that will drive the tech strategy for NetApp.
Role Overview
CPTO is looking for an Applied Scientist who is passionate about bridging the gap between AI research and large-scale production systems. In this role, you will not just apply off-the-shelf models; you will design, build, and iterate on novel algorithmic solutions to complex, ambiguous business problems.
Job Requirements
Familiarity with the design and development of system software.
12+ years of hands-on experience in coding of AI/ML.
Knowledge of Unix/Linux System Programming and Multithreaded programming.
Expertise in algorithms, data structures, and multi-threaded programming is essential.
Commitment to sound software engineering practices and a passion for quality.
Proven track record of meeting tight deadlines without sacrificing quality.
Strong communication skills, both written and oral, targeted at a wide variety of internal and external audiences.
Ability to understand customer deployment scenarios and experience in collaborating with peer teams outside of engineering.
Familiarity with database technologies such as NoSQL, Prometheus and datalake.
Hands-on experience with code conversion tools like Git.
Knowledge of software deployment - Docker/Kubernetes
Key Responsibilities:
Research & Design: Formulate complex business problems into formal mathematical frameworks Design, experiment with, and evaluate advanced ML models, Deep Learning architectures, and statistical methods
Prototyping to Production: Write clean, maintainable, and scalable code Own the end-to-end lifecycle of ML models, from data ingestion and training to deployment and post-launch monitoring
Scale & Optimize: Optimize model performance, latency, and resource utilization for high-throughput, low-latency production systems (e.g., distributing training, quantization, or optimizing inference graphs)
Technical Leadership: Stay at the forefront of AI research (LLMs, Retrieval-Augmented Generation (RAG), vector intelligence, multi-modal systems). Mentor junior engineers and scientists, and foster a data-driven engineering
Education
IC - Typically requires a minimum Bachelor/Master of Engineering in Computer Science; or equivalent experience.
12–15 years of hands-on experience in Data Science and related analytics disciplines.
Making your data infrastructure more seamless, more dynamic, and higher performing than ever before.
Industry
Software Development
Company size
10,001+ employees
Founded
1992
Headquarters
San Jose, California
LinkedIn followers
786,231
Total funding
$1.3B
Build an intelligent data infrastructure with NetApp that brings it all together — a smarter way to let data thrive. Any application, any data, anywhere.
Offices: 3060 Olsen Dr, San Jose, California 95128, US · 800 Cranberry Woods Dr, Ste 300, Cranberry Township, PA 16066, US · 7301 Kit Creek Road, Research Triangle Park, NC 27709, US · Raj Bhavan Road, Bengaluru, Karnataka 560001, IN · 3718 N Rock Rd, Wichita, Kansas, US
How many Technology jobs are open in Bangalore, India right now?
There are currently 2,386 open technology positions in Bangalore, India listed on Clera. New openings are added daily as companies post roles.
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Companies currently hiring include NTT DATA North America, Walmart, KPMG India, Schneider Electric, YASH Technologies, among others. Browse the listings above to see every active employer.
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