Senior Software Engineer - Data and ML
Pune, India
2d ago

NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing.

More recently, GPU deep learning ignited modern AI the next era of computing with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world! Today, we are increasingly known as the AI computing company.

Are you willing to challenge yourself, and build phenomenal software by working with the smartest people in the world? Join us at the forefront of technological advancement.

We are now looking for a Senior Software Engineer Data Science for our Product Security group.

What you’ll be doing :

Build Cyber Security Solutions by applying Data / Machine Learning technologies.

Collaborate across high-performance software engineering teams to develop innovative ML solutions leveraging NVIDIA Deep Learning Software and GPU stack.

Build and Operate sophisticated ML data analytics services to actively perform security vulnerability detections and policy recommendations.

Showcase leadership and own the product development roadmap to align with business priorities and vision.

Build high performance data pipelines of Big Data solutions in real time for inferencing, training and ETL.

Utilizing Data Engineering, ETL, machine learning technologies for training, inferencing and deployment of ML models into production applications.

What we need to see :

Bachelor’s degree in Computer Science Engineering or a related field of study.

Overall 8+ years of experience in architecting, designing and implementing software solutions, preferably in product development space.

3+ years of hands on experience in the Distributed Computing, Data Engineering and Data Analytics.

Experience with data pipelines / analysis / visualization tooling such as PowerBI, Elastic stack, Logstash, Kibana, Kafka, Grafana, Splunk, Pandas, Message brokers, Data modeling etc.

Software development experience in any of the following core languages / frameworks : Python, Java, GO, Spring / Hibernate.

Knowledge of parallel programming architectures or experience programming distributed systems.

Working knowledge of Amazon Web Services, Kubernetes, Docker is a plus.

Knowledge of Cloud Based solutions like Kendra, SageMaker, Auto-ML, Big Query, RedShift, Glue, Athena, FireHose etc.

Solid experience with log management, data analysis, data query approaches and dashboarding.

Experience with big data and related technologies (e.g. Hadoop, Spark, Cassandra).

Background with streaming architectures (e.g. NiFi, Streamz, ReactiveX) and pub / sub systems (e.g. Kafka, Pulsar)

ML / DL / Cloud certifications would be a plus.

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