Senior Data Scientist

Sentra

. Research and develop advanced AI models, including LLMs, NER systems, generative architectures, and self-supervised architectures, for data classification capabilities .

Posted 11/11/2026full-timeTel Aviv • IsraelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in AI model development, particularly in NLP and LLMs, with a strong focus on deploying models into production and optimizing performance through MLOps practices. Proven ability to collaborate effectively across product and engineering teams to align research with business objectives.

Highest-signal resume keywords

Machine Learning ExpertiseNLP ProficiencyModel Deployment ExperiencePython ProgrammingMLOps Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Model DevelopmentNLP TechniquesLLM DevelopmentGenerative AIData ClassificationModel EvaluationLarge-Scale Data ProcessingDeep Learning FrameworksContinuous ImprovementModel Lifecycle Management

Soft Skills

Excellent CommunicationCollaboration Skills

Tools & Technologies

PythonPyTorchTensorFlowSparkRayAWSGCPAzure

Certifications & Qualifications

Advanced Degree in Computer ScienceMaster’s or Ph.D. in Machine Learning

Industry Keywords

Data SecurityPrivacyComplianceLLM Fine-TuningPrompt Optimization

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud PlatformPythonPyTorchRaySparkTensorflow

About the role

Key responsibilities & impact

Research and develop advanced AI models, including LLMs, NER systems, generative architectures, and self-supervised architectures, for data classification capabilities
Design and evaluate novel AI and NLP approaches to enhance entity recognition and contextual understanding
Develop proof-of-concept models and collaborate with MLOps and engineering teams to deploy them in production
Build tools and pipelines for large-scale experimentation, model evaluation, and continuous improvement
Leverage Sentra’s datasets to define key metrics, drive iterative improvements, and balance precision-recall trade-offs
Work with Product and Engineering to align research direction with business and customer impact

Requirements

What you’ll need

7+ years of experience in machine learning or AI research, with deep expertise in NLP, LLMs, or Generative AI
Proven track record of delivering AI models into production, including model deployment, monitoring, and lifecycle management
Strong proficiency in Python and deep learning frameworks (e.g., PyTorch, TensorFlow)
Hands-on experience with large-scale data processing (Spark, Ray, or similar) and cloud platforms (AWS, GCP, or Azure)
Solid understanding of MLOps practices, including continuous training, evaluation, and model versioning
Excellent communication and collaboration skills, especially when working across product and engineering teams
Preferred: Experience in data security, privacy, or compliance domains
Preferred: Familiarity with LLM fine-tuning and prompt optimization
Preferred: Experience with cloud-based AI training and fine-tuning frameworks
Preferred: Advanced degree (Master’s or Ph.D.) in Computer Science, Machine Learning, or related field