Senior Data Scientist \/ Machine Learning Engineer, NLP \- 1635

aKUBE is an IT Services company, and they are seeking a Senior Data Scientist / Machine Learning Engineer with expertise in NLP. The role involves building and deploying NLP classification models, developing taxonomies, and ensuring data quality for customer communications.

Responsibilities

• Build and deploy NLP classification models for customer communications
• Develop intent, topic, sentiment, and multi-label taxonomies
• Clean and prepare transcript and message data for modeling
• Handle short-text cases, duplicate records, system messages, and speaker identification
• Build trend and anomaly detection methods using baselines, seasonality, and channel mix
• Design maintainable Python and PySpark data pipelines
• Define sampling strategies and annotation guidelines for labeled datasets
• Support reviewer adjudication and dataset quality validation
• Track model precision, recall, confusion patterns, confidence scores, and drift
• Implement secure processing for customer communications containing sensitive data

Skills

• 4–6+ years of data science or machine learning experience
• NLP classification for customer messages or call transcripts
• Intent, topic, sentiment, and multi-label classification
• Confidence scoring and model evaluation
• Text cleaning, deduplication, speaker handling, and PII-safe processing
• Trend and anomaly detection
• Python, PySpark, SQL, and pandas
• Labeled dataset design and annotation workflows
• Precision, recall, confusion matrix, and drift monitoring
• 4–6+ years of relevant machine learning, NLP, or data science experience
• Proven experience deploying NLP models into production
• Strong experience with classification systems and text analytics
• Advanced Python development and testing skills
• Hands-on experience with PySpark, SQL, pandas, and scalable data pipelines
• Experience creating and validating labeled datasets
• Strong understanding of model evaluation, monitoring, and false-alert reduction
• Experience working with governed or PII-bearing data
• Databricks
• Unity Catalog
• Databricks Workflows
• MLflow
• Model and data versioning
• Retrieval and embedding models
• LLM-assisted classification with evaluation and guardrails
• Contact-center or customer-support analytics
• Property-management or real-estate data experience

Company Overview

• aKUBE specialize in recruitment and staffing within the IT and business sectors. It was founded in 2006, and is headquartered in Los Angeles, California, USA, with a workforce of 51-200 employees. Its website is https://akubeinc.com.