Senior Data Scientist (AI)

TL;DR

Senior Data Scientist (AI): Developing and implementing scalable machine learning algorithms for autonomous datacenter networks with an accent on processing terabytes of streaming data for anomaly detection and predictive analytics. Focus on building robust data pipelines, enhancing AI-driven virtual assistants, and optimizing real-time root cause analysis systems.

Location: Onsite in California, USA

Salary: $153,500 - $310,500

Company

hirify.global is a global edge-to-cloud company focused on connecting, protecting, and analyzing data to drive operational outcomes.

What you will do

• Design and implement machine learning solutions to process massive streaming datasets for anomaly detection and trend prediction.
• Collaborate with product managers and network domain experts to translate requirements into actionable AI/ML solutions.
• Troubleshoot production environments and resolve complex customer-reported issues using distributed data processing engines.
• Develop and maintain highly scalable data processing components and pipelines using big data toolsets.
• Enhance cloud intelligence for the Marvis platform and virtual assistant systems.
• Work with DevOps teams to implement monitoring and ensure high efficacy and low latency in data pipelines.

Requirements

• Must be based in or able to work onsite in California, USA.
• Bachelor's degree in Computer Science, Engineering, Mathematics, or equivalent.
• 5+ years of experience in search indexing, ranking, information retrieval, and querying.
• Proficiency in Python and Golang.
• Proven experience implementing NLP and machine learning models into production at scale.
• Strong understanding of datacenter networking topology and protocols.

Nice to have

• PhD or Master's degree in Statistics, Operations Research, or Computer Science.
• Experience with Apache Spark, Apache Storm, Apache Flink, Hadoop, Hive, Elasticsearch, or Redis.
• Experience deploying and leading ML platforms in cloud environments like AWS, GCP, or Azure.
• Background in time series data analysis, forecasting, and correlation.

Culture & Benefits

• Comprehensive health and wellbeing benefits for employees and their families.
• Dedicated professional development programs and career growth opportunities.
• Inclusive work environment that values diverse backgrounds and individual uniqueness.
• Flexible work arrangements to manage personal and professional needs.