Senior Data Scientist

Identified Talent Solutions; United States; Remote; USD 120,000 - 160,000; Full time

Job summary

A leading company in the AI and machine learning sector is seeking a Machine Learning Engineer to tackle complex challenges in cloud security and intelligence. The ideal candidate will have extensive experience in model design and implementation, along with a strong educational background in computer science. This role provides opportunities to enhance business outcomes using cutting-edge technologies, including large language models and advanced machine learning algorithms.

Qualifications

• 4+ years of experience as a Machine Learning Engineer or Data Scientist.
• Passion for leveraging ML/AI to solve real-world business problems.
• Good understanding of operating systems and distributed systems.

Responsibilities

• Design and create machine learning models for cloud security and intelligence.
• Work on use cases including threat detection and anomaly detection.
• Experience multiple machine learning algorithms and tools.

Skills

Python

Machine Learning

Data Science

SQL

Feature Engineering

Large Language Models

Business Sense

Education

Master's Degree in Computer Science/Engineering

PhD in Computer Science/Engineering

Tools

PyTorch

Pandas

Spark

Job description

Job Description

Work on use cases that include but are not limited to threat detection, policy recommendation, LLM-powered applications, malware detection, content classification, anomaly detection, and AIOps (advanced networking diagnosis). These various use cases give you the opportunity and challenges to experience multiple machine learning algorithms and tools. You will design and create machine learning models to provide faster and more effective ways to address cloud security, cloudoperations, and cloud intelligence use cases.

You might not be an expert in every stage of a Machine Learning project, but you should have interests and curiosity invarious parts ranging from the data to the model’s business impact.

Qualifications

• 4+ years of experience as a Machine Learning Engineer or Data Scientist
• Experience with Python (pandas, sklearn, pytorch) and SQL
• Experience with feature engineering, model evaluation and model error analysis
• Experience with Large Language Models (LLMs)
• Passion for leveraging ML/AI to solve real-world business problems (better security and better business results)
• Master's Degree in Computer Science/Engineering required, data science concentration is a plus; PhD is preferred
• Good business sense and customer obsession
• Solid computer science foundation

Additional Preferred Skills

• Prompt engineering and fine tuning Large Language Models (LLMs)
• Experience with various program languages such as (Py)Spark.
• Graph Neural Networks/Knowledge Graphs
• Experience with unsupervised learning (clustering), and evaluating unsupervised models
• Experience with active/few-shot learning
• Experience with logs analysis/logs mining
• Research Experience/Publications
• Experience with various public cloud services (such as AWS, Google, Azure) and ML automation platforms (such as Kubeflow).
• Good understanding of operating systems and distributed systems.
• Familiarity with networking and networking security .