Senior Machine Learning Engineer

TradingView
Tbilisi
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 3+ yearsSkills: ["Ownership","Collaboration","Quality focus","Architectural thinking"]

Design and build ML and AI modules for TradingView’s products, from experimentation and prototyping through production integration. Develop LLM- and NLP-based solutions for data processing, generation, search, and assistant/bot automation, while selecting and evaluating the right approaches and external or self-hosted models. Own the full ML lifecycle—data prep, training, A/B testing, monitoring, and quality evaluation—then collaborate with product and engineering teams to improve reliability, cost, and latency using MLOps infrastructure.

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FursaFursa
TradingView
TradingView
1 week ago

Senior Machine Learning Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 7 hours agoStatus: Live

Job Summary

Design and build ML and AI modules for TradingView’s products, from experimentation and prototyping through production integration. Develop LLM- and NLP-based solutions for data processing, generation, search, and assistant/bot automation, while selecting and evaluating the right approaches and external or self-hosted models. Own the full ML lifecycle—data prep, training, A/B testing, monitoring, and quality evaluation—then collaborate with product and engineering teams to improve reliability, cost, and latency using MLOps infrastructure.
Location: Tbilisi
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design and implement ML and AI modules across products, from experimentation and prototyping to production integration
  • •Build LLM- and ML/NLP-based solutions for data processing, generation, search, assistants, bots, agents, and automation
  • •Select and evaluate modeling approaches, including external AI providers and open-source or self-hosted models, plus traditional ML/NLP methods
  • •Drive the ML lifecycle: data preparation, training, running A/B tests, and analyzing results
  • •Contribute to ML architecture and engineering standards, monitor model performance, and improve quality using MLOps infrastructure (CI/CD, monitoring, logging, containerization)

Pay and Benefits

Perks:Health InsuranceRelocation

Key Requirements

  • •3+ years of ML engineering experience building production-ready ML systems
  • •Strong practical expertise in NLP, LLMs, and AI assistants
  • •Experience with end-to-end ML solutions from idea/data to production and support
  • •Proficient Python/Go skills and production-grade development practices
  • •Hands-on evaluation of ML/AI quality, reliability, and A/B testing with result interpretation
Experience:3+ yearsMachine learningAI assistantsNLPLLMsA/B testingMLOps
Skills:OwnershipCollaborationQuality focusArchitectural thinking
Tech Stack:PythonGoLLMsNLPA/B testingDockerKubernetesCI/CDPrometheusGrafanaMLflowAirflowKubeflow

Company Brief

TradingView
Provides a web-based charting platform, market data and social network for traders and investors, offering charting libraries, trading integrations, and analytics used by retail traders, brokerages and fintech firms worldwide.
Industry: Trading Platforms
Company Size: Enterprise (1,001+ employees)
Growth: Scaleup
Funding: Series C
Headquarters: London, United Kingdom
Founded: 2011
Glassdoor
Glassdoor: 2.9
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