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Machine Learning / Big Data Software Engineer

Cliff Services Inc
Sunnyvale, CA, United States
26 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source
www.dice.com

Tech stack

Java (Programming Language) Big Data C++ (Programming Language) Distributed Systems Apache Hadoop Python (Programming Language) Machine Learning Azure Machine Learning SQL Databases Snowflake Apache Spark Feature Extraction
+1 more
Data Pipelines

Requirements

Strong experience with Python, Java, or C++ Distributed systems and scalable applications Data processing pipelines and big data technologies Hands-on experience with Spark, SQL, Snowflake and/or Hadoop Experience building or operationalizing ML platforms Machine learning model development or high-throughput applications Full-stack development for big data analysis, feature extraction, or annotation platforms

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Good distractions

Talks and stories from around this role — technically off-topic, practically not.

Moments

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2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

3:14 min

Structuring career paths and localized data architectures

Ulrich Wurstbauer +1 · LIVE

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:04 min

Comparing offline data analytics with online stream processing

Artem Volk Artem Volk +1 · World Congress 2024

Videos

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LIVE • almost 6 years ago

PySpark - Combining Machine Learning & Big Data

Ayon Roy

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43:57
LIVE • almost 6 years ago

Alibaba Big Data and Machine Learning Technology

Qiyang Duan

How Cisco embraced a DevOps culture within its network engineering team thumbnail
39:38
LIVE • over 5 years ago

How Cisco embraced a DevOps culture within its network engineering team

Stuart Clark

Let's Get Aggregated: Custom UDAFs in Spark thumbnail
19:58
World Congress 2025 • about 1 year ago

Let's Get Aggregated: Custom UDAFs in Spark

Nikolai Nikolaev

Why and when should we consider Stream Processing frameworks in our solutions thumbnail
30:51
World Congress 2024 • about 2 years ago

Why and when should we consider Stream Processing frameworks in our solutions

Soroosh Khodami

Hacking AI at the Edge of the Indian Ocean thumbnail
29:03
World Congress 2026 Europe • about 2 months ago

Hacking AI at the Edge of the Indian Ocean

Anastasiia Stefanska, James Cha-Earley

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