NetApp – Staff Applied Scientist

Job Description

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 :

– 12+ years of hands-on experience in coding of AI/ML.

– Expertise in algorithms, data structures, and multi-threaded programming.

– Knowledge of Unix/Linux System Programming.

– 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.

– 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 culture.

Education :

– 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.

Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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